CN107016337B - A kind of fingerprint identification method and mobile terminal - Google Patents
A kind of fingerprint identification method and mobile terminal Download PDFInfo
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- CN107016337B CN107016337B CN201710100575.4A CN201710100575A CN107016337B CN 107016337 B CN107016337 B CN 107016337B CN 201710100575 A CN201710100575 A CN 201710100575A CN 107016337 B CN107016337 B CN 107016337B
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
- G06V40/1306—Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing
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- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
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- G06F1/3234—Power saving characterised by the action undertaken
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- G—PHYSICS
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G06V40/1365—Matching; Classification
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/66—Substation equipment, e.g. for use by subscribers with means for preventing unauthorised or fraudulent calling
- H04M1/667—Preventing unauthorised calls from a telephone set
- H04M1/67—Preventing unauthorised calls from a telephone set by electronic means
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- H—ELECTRICITY
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- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72463—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The embodiment of the invention provides a kind of fingerprint identification method and mobile terminals, wherein the described method includes: acquiring the image of the contactant when fingerprint recognition mould group senses contactant;Judge whether described image meets the first preset condition;When described image meets first preset condition, add up the fingerprint collecting frequency of failure;When the fingerprint collecting frequency of failure is greater than the first preset threshold, the fingerprint recognition mould group is forbidden to work.The number that can be reduced using the embodiment of the present invention causes fingerprint recognition mould group frequent progress fingerprint recognition to operate because accidentally touching fingerprint recognition mould group reduces the power consumption of mobile terminal in turn.
Description
Technical Field
The invention relates to the field of internet, in particular to a fingerprint identification method and a mobile terminal.
Background
In the prior art, mobile terminals (such as mobile phones, tablet computers and the like) are increasingly equipped with a fingerprint identification function, and fingerprint identification can be used for unlocking and awakening the mobile terminals, can also be applied to mobile payment, account login and the like, and is widely applied due to the characteristics of convenience and high safety.
When the fingerprint identification module of mobile terminal adopted is capacitanc fingerprint sensor, in case there is the conductor to be close or contact mobile terminal's fingerprint identification module surface, can trigger mobile terminal's fingerprint identification operation, at this moment, mobile terminal will be in the high power consumption state. When frequently triggering fingerprint identification module work, can sharply increase mobile terminal's consumption.
Disclosure of Invention
The embodiment of the invention provides a fingerprint identification method and a mobile terminal, which can reduce the power consumption of the mobile terminal.
The first aspect of the embodiments of the present invention provides a fingerprint identification method, including:
when the fingerprint identification module senses a contact object, detecting whether the temperature of the contact object is within a preset temperature range;
when the temperature of the contact object is in the preset temperature range, acquiring an image of the contact object;
judging whether the image meets a first preset condition or not;
accumulating the failure times of fingerprint acquisition when the image meets the first preset condition;
and when the failure times of fingerprint acquisition are greater than a first preset threshold value, forbidding the fingerprint identification module to work.
A second aspect of an embodiment of the present invention provides a mobile terminal, including:
the detection unit is used for detecting whether the temperature of the contact object is within a preset temperature range or not when the fingerprint identification module senses the contact object;
the acquisition unit is used for acquiring the image of the contact object when the temperature of the contact object is in the preset temperature range;
the first judging unit is used for judging whether the image meets a first preset condition or not;
the counting unit is used for accumulating the failure times of fingerprint acquisition when the image meets the first preset condition;
and the forbidding unit is used for forbidding the fingerprint identification module to work when the failure times of fingerprint acquisition is greater than a first preset threshold value.
A third aspect of the embodiments of the present invention provides a mobile terminal, including:
a processor and a memory; wherein the processor performs some or all of the steps of the method described in the first aspect by calling code or instructions in the memory.
The embodiment of the invention has the following beneficial effects:
it can be seen that, according to the embodiment of the invention, when the fingerprint identification module senses the contact object, if the temperature of the contact object is within the preset temperature range, the image of the contact object is collected, whether the image meets the first preset condition or not is judged, when the image meets the first preset condition, the failure times of fingerprint collection are accumulated, and when the failure times of fingerprint collection are greater than the first preset threshold, the fingerprint identification module is forbidden to work. So, reducible touch the fingerprint identification module because of the mistake and lead to the fingerprint identification module to frequently carry out the number of times of fingerprint identification operation, and then, reduce mobile terminal's consumption.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a fingerprint identification method according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a fingerprint recognition method according to a second embodiment of the present invention;
fig. 3 is a flowchart illustrating a fingerprint identification method according to a third embodiment of the present invention;
fig. 4a is a schematic structural diagram of a mobile terminal according to a first embodiment of the present invention;
fig. 4b is a schematic diagram of another structure of the mobile terminal depicted in fig. 4a according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a mobile terminal according to a second embodiment of the present invention;
fig. 6 is a schematic structural diagram of a mobile terminal according to a third embodiment of the present invention;
fig. 7 is a schematic structural diagram of a mobile phone according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of the invention and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The mobile terminal described in the embodiment of the present invention may include a smart Phone (such as an Android Phone, an iOS Phone, a Windows Phone, etc.), a tablet computer, a palm computer, a notebook computer, a mobile internet device (MID, mobile internet Devices), or a wearable device, and the mobile terminal is merely an example, and is not exhaustive and includes but is not limited to the mobile terminal.
It should be noted that the fingerprint identification module in the present invention employs a capacitive fingerprint sensor, when a finger presses or touches a collecting head of the capacitive fingerprint sensor, different capacitances are generated between ridges and valleys of the skin of the finger and the chip, and the chip obtains a fingerprint pattern of the skin of the finger by measuring different electromagnetic fields in a space. But capacitanc fingerprint sensor is unstable for in case there is the conductor to touch the fingerprint identification module surface, the interrupt response of probably triggering the fingerprint identification module carries out fingerprint collection, and mobile terminal also gets into the high power consumption state simultaneously, when the interrupt response of frequent spurious triggering fingerprint identification module, can lead to mobile terminal's electric quantity rapid consumption.
In general, fingerprint identification has become the standard configuration of mainstream mobile terminals due to its characteristics of convenience, rapidness, high security and the like, and therefore, the power consumption problem of the mobile terminal caused by false triggering of fingerprint identification needs to be effectively controlled. The fingerprint identification module has three working modes, namely a standby mode, a sleep mode and a deep sleep mode. When standby mode, when the finger touches the fingerprint identification module, can gather the fingerprint, match the fingerprint, unblock mobile terminal etc. a series of operations, consequently, standby mode's consumption is the highest. After the fingerprint identification of the mobile terminal is successfully completed, the mobile terminal enters a sleep mode, the power consumption of the sleep mode is lower than that of a standby mode, but the power consumption can still be a certain amount when an interrupt instruction can be quickly responded. When the terminal is in the deep sleep mode, that is, the mobile terminal is in a power-off state or the fingerprint identification function is turned off. Through the invention, whether the fingerprint identification is the false triggering or not can be judged when the fingerprint identification module is in the standby mode, and the energy consumption of the mobile terminal caused by the false triggering of the fingerprint identification is reduced.
Fig. 1 is a flowchart illustrating a fingerprint identification method according to a first embodiment of the present invention. The fingerprint identification method described in this embodiment includes the following steps:
101. when the fingerprint identification module senses the contact object, the image of the contact object is collected.
Wherein, when the contact object contacted the fingerprint identification module, can trigger the fingerprint identification module and produce the interrupt response, gather the image of contact object.
Alternatively, the contact object is a conductor, and may be a conductive material commonly used in life, such as metal, human body part, graphite, acid-base salt solution, fruit (such as apple, orange, etc.), and the like. When the contact surface of these conductors and fingerprint identification module exceeded certain area, the fingerprint identification module can both be sensed to the image operation of gathering the contact thing is carried out. The size of the certain area can be set by default of the system or by the user.
102. And judging whether the image meets a first preset condition or not.
The first preset condition may be that the acquired image is not a fingerprint image, or that the area of the acquired image is smaller than a second preset threshold. The second preset threshold may be set by the user or default by the system.
Optionally, the fingerprint identification module detects and judges the image after acquiring the image of the contact object, and judges whether the acquired image is a fingerprint image. The capacitive fingerprint sensor is composed of a capacitor array, when the surface of a finger is placed on the capacitive fingerprint sensor, skin forms one polar plate of the capacitor array, the fingerprint is composed of ridges and valleys, and the distances from the ridges and the valleys to the sensor are different, so that the capacitance of each unit is different, and a fingerprint image can be obtained. When other conductors contact the fingerprint identification module, can not form the fingerprint image, can judge for the drawing failure.
Optionally, after the fingerprint identification module collects the image of the contact object, the area of the image is detected and determined, and whether the area of the collected image is larger than a second preset threshold value is determined. When the area of the image is too small, the acquired image cannot be accurately matched with the fingerprint image prestored in the mobile terminal, and a large error is generated in matching, so that the failure of image acquisition can be judged.
103. And accumulating the failure times of fingerprint acquisition when the image meets the first preset condition.
When the image collected by the fingerprint identification module is not a fingerprint image, the image is confirmed to accord with a first preset condition, or the area of the image collected by the fingerprint identification module is smaller than a second preset threshold value, the image is confirmed to accord with the first preset condition and all belong to the situation of picture collection failure, the mobile terminal judges the picture collection to be the picture collection failure, and stores the picture collection failure record and accumulates the times of the picture collection failure. For example, when the mobile phone a and the mobile phone B are stacked together, the fingerprint identification module of the mobile phone a directly contacts or is close to the metal rear cover of the mobile phone B, and the metal rear cover of the mobile phone B is a conductor, so that the capacitance value of the fingerprint identification module of the mobile phone a changes, an interrupt response of the fingerprint identification module is triggered, and operations such as image acquisition are started. When a user does not find that the mobile phone A and the mobile phone B are still stacked together, the interruption response of the fingerprint identification module is triggered all the time, the operations such as picture collection and the like are carried out all the time, and if no measures are taken, the electric quantity of the mobile terminal is rapidly consumed, and the electric quantity is wasted. The lid is not the fingerprint behind cell-phone B's the metal, and fingerprint image can't be gathered to the fingerprint identification module, if the condition of drawing failure takes place, mobile terminal can note the number of times of drawing failure.
Optionally, after step 102, the following steps may be further included:
and matching the image with a preset fingerprint template when the image does not accord with the first preset condition, and executing the accumulated fingerprint acquisition failure times when the matching value between the image and the preset fingerprint template is smaller than a third preset threshold value.
Wherein, the image not meeting the first preset condition may be: the image is a fingerprint image, or the area of the image is greater than or equal to the second preset threshold. The preset fingerprint template can be recorded into the mobile terminal by a user in advance, and the third preset threshold value can be set by the user or set by the system in a default mode. When the image meets the first preset condition, the image can be matched with the preset fingerprint template, so that a matching value between the image and the preset fingerprint template can be obtained, and when the matching value is smaller than a third preset threshold, the failure times of fingerprint acquisition can be accumulated. Of course, the third preset threshold is smaller than the fingerprint unlocking threshold (that is, when the matching value between the fingerprint image collected by the fingerprint identification module and the preset fingerprint template is greater than the fingerprint unlocking threshold, unlocking can be realized).
Further, the third preset threshold may be smaller than the fingerprint unlocking threshold. When the matching value between the image collected in the step 101 and the preset fingerprint template is greater than or equal to the third preset threshold and less than the fingerprint unlocking threshold, the current failure times of fingerprint collection are maintained, for example, sometimes, the user may have a wet finger or a dry finger condition during the fingerprint unlocking process, and therefore, at this time, a certain matching degree exists between the collected fingerprint image and the preset fingerprint template, but the fingerprint unlocking threshold is not reached, and therefore, the failure times of fingerprint collection may not be accumulated, and at this time, the user may be unlocking, so that the work of the fingerprint identification module is prohibited, and the user cannot unlock quickly.
104. And when the failure times of fingerprint acquisition are greater than a first preset threshold value, forbidding the fingerprint identification module to work.
When the accumulated image acquisition failure times of the mobile terminal are greater than a first preset threshold value, the mobile terminal can forbid the fingerprint identification module from working, and the fingerprint identification module can be considered to enter a deep sleep mode. For example, a first preset threshold value is 10, and when the number of times of continuous picture-taking failure of the mobile terminal exceeds 10 times, the mobile terminal stops the work of the fingerprint identification module, and when the contact object contacts the fingerprint identification module again, the fingerprint identification module can not make any reaction to the contact object any more. Therefore, if the mobile phone A and the mobile phone B are stacked together for a long time, when the fingerprint identification module of the mobile phone A is in continuous contact with the metal rear cover of the mobile phone B, if the picture collection failure of the mobile phone A exceeds 10 times, no reaction can be made on the contact of the metal rear cover of the mobile phone B, and therefore the electric quantity consumption of the mobile terminal caused by multiple times of false triggering of fingerprint identification is reduced.
Optionally, if the number of failed image capturing times does not exceed a first preset threshold, the fingerprint identification module is still in a standby mode, when a contact object is in contact, the fingerprint identification module can still trigger an interrupt response of the fingerprint identification module, the fingerprint identification module starts to collect an image of the contact object, and whether the image meets a first preset condition is judged.
Optionally, if the fingerprint identification module succeeds in image collection, after image collection for the first time succeeds, the collected images can be matched with the preset fingerprint images of the mobile terminal, and if matching succeeds, the mobile terminal can implement corresponding operations (such as screen unlocking, mobile payment, account number association login and the like). The acquired fingerprint image is matched with a preset fingerprint image, and the matching similarity is judged to be successful after being larger than a certain value. For example, if the similarity between the acquired fingerprint image and the preset fingerprint image is greater than eighty percent, the fingerprint matching is determined to be successful. And when the fingerprint matching fails, the user needs to re-enter the fingerprint.
It can be seen that, according to the embodiment of the invention, when the fingerprint identification module senses a contact object, the image of the contact object is collected, whether the image meets a first preset condition or not is judged, when the image meets the first preset condition, the failure times of fingerprint collection are accumulated, and when the failure times of fingerprint collection are greater than a first preset threshold value, the fingerprint identification module is forbidden to work. So, reducible touch the fingerprint identification module because of the mistake and lead to the fingerprint identification module to frequently carry out the number of times of fingerprint identification operation, and then, reduce mobile terminal's consumption.
In accordance with the above, please refer to fig. 2, which is a flowchart illustrating a fingerprint identification method according to a second embodiment of the present invention. The fingerprint identification method described in this embodiment includes the following steps:
201. when the fingerprint identification module senses the contact object, the image of the contact object is collected.
202. And judging whether the image meets a first preset condition or not.
203. And accumulating the failure times of fingerprint acquisition when the image meets the first preset condition.
204. And when the failure times of fingerprint acquisition are greater than a first preset threshold value, forbidding the fingerprint identification module to work.
The steps 201 to 204 may refer to the steps 101 to 104 of the fingerprint identification method described in fig. 1.
205. And acquiring touch parameters aiming at the mobile terminal.
Wherein, after forbidding fingerprint identification module work, if want to resume fingerprint identification module work, need restore fingerprint identification module reentry work through the preset condition of second. For example, the second preset condition may be pressing a power key (such as a power key of an android phone, a home key of an apple phone), pressing a volume key, and the like. When a user executes a related touch operation on the mobile terminal, the mobile terminal can acquire a corresponding touch parameter.
Alternatively, the touch parameters may include, but are not limited to: touch parameters of the touch screen (such as the number of touches of the touch screen, the sliding track of the sliding touch screen (such as the shape, the length and the distance between ending contact points), the touch time of the touch screen, the touch force of the touch screen, the number of touches of the touch screen, or according to pressing parameters of preset keys (the preset keys can be volume keys, power-on keys and the like, and the pressing parameters can be the number of presses, the degree of presses and the like))
206. And when the touch parameter meets a second preset condition, controlling the fingerprint identification module to enter a working state.
When the acquired touch parameter meets a second preset condition, the mobile terminal can control the fingerprint identification module to reenter the working state. For example, the second preset condition may be that the volume up key is pressed twice, and when the terminal acquires the touch parameter corresponding to the volume up key pressed twice, the fingerprint identification module is controlled to enter the working state. For example, when cell-phone A failed because of adopting the picture the number of times and exceeded 10, after the fingerprint identification module entered into the deep sleep mode, lid behind cell-phone B's the metal even keep contacting cell-phone A's fingerprint identification module, also can't make cell-phone A's fingerprint identification module carry out fingerprint identification work again. When the user need use cell-phone A's fingerprint identification function, find that the fingerprint identification module does not have any reaction, can resume the fingerprint identification module and get into operating condition through pressing the volume increase key twice. The second preset condition may be set by the user, or the system may default. For example, the second preset condition may be: the touch time of the touch screen is greater than a certain threshold value, the touch force of the touch screen is in a certain range, the pressing force according to the preset keys is greater than a certain threshold value, and the like.
207. And clearing the failure times of fingerprint acquisition.
Wherein, when predetermineeing the condition through the second for after mobile terminal control fingerprint identification module reentrant operating condition, mobile terminal can clear the fingerprint collection failure number of times of record before, so, can avoid because of user's operation is improper, the fingerprint that leads to adopts the picture failure, leads to fingerprint identification module stop work.
It can be seen that, according to the embodiment of the present invention, when the fingerprint identification module senses a contact object, an image of the contact object is collected, whether the image meets a first preset condition is determined, when the image meets the first preset condition, the number of times of failure of fingerprint collection is accumulated, when the number of times of failure of fingerprint collection is greater than a first preset threshold, the fingerprint identification module is prohibited from working, a touch parameter for the mobile terminal is obtained, when the touch parameter meets a second preset condition, the fingerprint identification module is controlled to enter a working state, and the number of times of failure of fingerprint collection is cleared. So, reducible touch the fingerprint identification module because of the mistake and lead to the fingerprint identification module to frequently carry out the number of times of fingerprint identification operation, and then, reduce mobile terminal's consumption.
In accordance with the above, please refer to fig. 3, which is a flowchart illustrating a fingerprint identification method according to a third embodiment of the present invention. The fingerprint identification method described in this embodiment includes the following steps:
301. when the fingerprint identification module senses the contact object, whether the temperature of the contact object is within a preset temperature range is detected.
Wherein, mobile terminal can preset a preset temperature range, and when the contact object contacted the fingerprint identification module, mobile terminal can detect whether the temperature of the contact object is in the preset temperature range. For example, the normal body temperature of the human body is between 36 degrees celsius and 37 degrees celsius, and the mobile terminal may set the preset temperature range to 35 degrees celsius to 38 degrees celsius. If the temperature of a certain object is 18 ℃, the temperature of the object is out of the preset temperature range.
302. And when the temperature of the contact object is in the preset temperature range, acquiring an image of the contact object.
When the temperature of the contact object is within the preset temperature range, the fingerprint identification module can execute the acquisition of the image of the contact object. When predetermineeing the temperature range and being 35 degrees centigrade to 38 degrees centigrade, when the fingerprint identification module was touched to the human body, the image of this contact object will be gathered to the fingerprint identification module, and when other conductors, for example metal, apple etc. contact the fingerprint identification module, because their temperature is not in above-mentioned predetermined temperature range, the fingerprint identification module just can not adopt the picture, so, reducible conductor triggers the condition that the fingerprint identification module carries out fingerprint identification by mistake, reduce the mobile terminal energy consumption that the frequent picture of adopting of fingerprint identification brought.
303. And judging whether the image meets a first preset condition or not.
304. And accumulating the failure times of fingerprint acquisition when the image meets the first preset condition.
305. And when the failure times of fingerprint acquisition are greater than a first preset threshold value, forbidding the fingerprint identification module to work.
The steps 303 to 305 may refer to the steps 102 to 104 of the fingerprint identification method described in fig. 1, and are not described herein again.
Optionally, after step 303, the following steps may be further included:
and matching the image with a preset fingerprint template when the image does not accord with the first preset condition, and executing the accumulated fingerprint acquisition failure times when the matching value between the image and the preset fingerprint template is smaller than a third preset threshold value.
Wherein, the image not meeting the first preset condition may be: the image is a fingerprint image, or the area of the image is greater than or equal to the second preset threshold. The preset fingerprint template can be recorded into the mobile terminal by a user in advance, and the third preset threshold value can be set by the user or set by the system in a default mode. When the image meets the first preset condition, the image can be matched with the preset fingerprint template, so that a matching value between the image and the preset fingerprint template can be obtained, and when the matching value is smaller than a third preset threshold, the failure times of fingerprint acquisition can be accumulated. Of course, the third preset threshold is smaller than the fingerprint unlocking threshold (that is, when the matching value between the fingerprint image collected by the fingerprint identification module and the preset fingerprint template is greater than the fingerprint unlocking threshold, unlocking can be realized).
Further, the third preset threshold may be smaller than the fingerprint unlocking threshold. When the matching value between the image collected in the step 302 and the preset fingerprint template is greater than or equal to the third preset threshold and less than the fingerprint unlocking threshold, the current failure times of fingerprint collection are maintained, for example, sometimes, the user may have a wet finger or a dry finger condition during the fingerprint unlocking process, and thus, at this time, a certain matching degree exists between the collected fingerprint image and the preset fingerprint template, but the fingerprint unlocking threshold is not reached, and therefore, the failure times of fingerprint collection may not be accumulated, and at this time, the user may be unlocking, so that the work of the fingerprint identification module is not prohibited, and the user cannot unlock quickly.
Optionally, after the step 304, the following steps may be further included:
judging whether the current electric quantity of the mobile terminal is lower than a preset electric quantity, if so, prohibiting the fingerprint identification module from working when the fingerprint acquisition failure times are greater than a fourth preset threshold value, wherein the fourth preset threshold value is smaller than the first preset threshold value.
The preset electric quantity may be set by a user or default to a system, for example, 50%, the fourth preset threshold may be set by the user or default to the system, and the fourth preset threshold is smaller than the first preset threshold. Under the condition that the electric quantity is greater than or equal to preset electric quantity, behind the number of times of failure of accumulative fingerprint collection, if the number of times of failure of fingerprint collection reaches first preset threshold value, mobile terminal can forbid fingerprint identification module work to, reduce the fingerprint identification consumption because of the false triggering leads to. Under the condition that current electric quantity at mobile terminal is less than predetermineeing the electric quantity, can regard as mobile terminal to be in at present under the low electric quantity state, can just forbid fingerprint identification module work when fingerprint collection failure number of times reaches the fourth threshold value of predetermineeing, thereby, can more effectual reduction fingerprint identification consumption, the length of time of extension mobile terminal's use. For example, the first preset threshold is 10 times, the fourth preset threshold is 6 times, and the fingerprint identification module is prohibited from working when the failure times of fingerprint acquisition reaches 10 times, but because the equivalent weight of the current mobile terminal is lower than the preset electric quantity, the current mobile terminal is already in a low-electric-quantity state, the fingerprint identification module can be prohibited from working when the failure times of fingerprint acquisition reaches 6 times, and therefore the power consumption generated by fingerprint identification is reduced.
It can be seen that, according to the embodiment of the invention, when the fingerprint identification module senses the contact object, whether the temperature of the contact object is in the preset temperature range is detected, when the temperature of the contact object is in the preset temperature range, the image of the contact object is collected, whether the image meets the first preset condition is judged, when the image meets the first preset condition, the failure times of fingerprint collection are accumulated, and when the failure times of fingerprint collection are greater than the first preset threshold value, the fingerprint identification module is prohibited from working. So, reducible touch the fingerprint identification module because of the mistake and lead to the fingerprint identification module to frequently carry out the number of times of fingerprint identification operation, and then, reduce mobile terminal's consumption.
In accordance with the foregoing, the following is a device for implementing the fingerprint identification method according to the embodiment of the present invention, and specifically includes:
please refer to fig. 4a, which is a schematic structural diagram of a mobile terminal according to a first embodiment of the present invention. The mobile terminal described in this embodiment includes: the acquisition unit 401, the judgment unit 402, the counting unit 403 and the prohibition unit 404 are specifically as follows:
the acquisition unit 401 is used for acquiring an image of a contact object when the fingerprint identification module senses the contact object;
a judging unit 402, configured to judge whether the image meets a first preset condition;
a counting unit 403, configured to accumulate fingerprint acquisition failure times when the image meets the first preset condition;
and the forbidding unit 404 is used for forbidding the fingerprint identification module to work when the fingerprint acquisition failure times is greater than a first preset threshold value.
Optionally, the determining unit 402 is specifically configured to:
judging whether the image is a fingerprint image or not, and confirming that the image meets the first preset condition when the image is not the fingerprint image;
optionally, the determining unit 402 is specifically configured to:
and judging whether the area of the image is smaller than a second preset threshold value or not, and confirming that the image meets the first preset condition when the area of the image is smaller than the second preset threshold value.
Optionally, as shown in fig. 4b, fig. 4b is a modified structure of fig. 4a, and compared with fig. 4a, the mobile terminal depicted in fig. 4a may further include: the acquiring unit 405, the controlling unit 406 and the clearing unit 407 are specifically as follows:
an obtaining unit 405, configured to obtain a touch parameter for the mobile terminal after the fingerprint identification module is prohibited from operating;
the control unit 406 is configured to control the fingerprint identification module to enter a working state when the touch parameter meets a second preset condition;
and a clearing unit 407, configured to clear the failure times of fingerprint acquisition after the control unit 406 controls the fingerprint identification module to enter a working state.
Optionally, the mobile terminal described in fig. 4a or fig. 4b may further include: matching unit (not shown in the figure), which is as follows:
a matching unit, configured to match the image with a preset fingerprint template when the determination result of the determining unit 402 is that the image does not meet the first preset condition, and accumulate, by the counting unit 403, the number of times of fingerprint acquisition failures when the matching result of the matching unit is that the matching value between the image and the preset fingerprint template is smaller than a third preset threshold.
It can be seen that, with the mobile terminal described in the embodiment of the present invention, when the fingerprint identification module senses a contact object, the image of the contact object may be collected, whether the image meets a first preset condition or not may be determined, when the image meets the first preset condition, the number of times of failure of fingerprint collection is accumulated, and when the number of times of failure of fingerprint collection is greater than a first preset threshold, the fingerprint identification module is prohibited from operating. So, reducible touch the fingerprint identification module because of the mistake and lead to the fingerprint identification module to frequently carry out the number of times of fingerprint identification operation, and then, reduce mobile terminal's consumption.
In accordance with the above, please refer to fig. 5, which is a schematic structural diagram of a mobile terminal according to a second embodiment of the present invention. Fig. 5 is a modified structure of the mobile terminal described in fig. 4a or fig. 4b, where the mobile terminal described in this embodiment includes: the detection unit 501, the acquisition unit 502, the judgment unit 503, the counting unit 504 and the prohibition unit 505 are specifically as follows:
the detection unit 501 is used for detecting whether the temperature of the contact object is in a preset temperature range or not before the acquisition unit acquires the image of the contact object;
the acquisition unit 502 is used for acquiring an image of the contact object when the temperature of the contact object is in the preset temperature range;
a judging unit 503, configured to judge whether the image meets a first preset condition;
a counting unit 504, configured to accumulate fingerprint acquisition failure times when the image meets the first preset condition;
and the forbidding unit 505 is used for forbidding the fingerprint identification module to work when the fingerprint acquisition failure times is greater than a first preset threshold value.
Optionally, the mobile terminal depicted in fig. 5 may further include: matching unit (not shown in the figure), which is as follows:
a matching unit, configured to match the image with a preset fingerprint template when the determination result of the determining unit 503 is that the image meets the first preset condition, and accumulate, by the counting unit 504, the number of times of fingerprint acquisition failures when the matching result of the matching unit is that the matching value between the image and the preset fingerprint template is smaller than a third preset threshold.
It can be seen that, with the mobile terminal described in the embodiment of the present invention, when the fingerprint identification module senses a contact object and the temperature of the contact object is within the preset temperature range, the image of the contact object is collected, whether the image meets the first preset condition or not is determined, when the image meets the first preset condition, the number of times of failure of fingerprint collection is accumulated, and when the number of times of failure of fingerprint collection is greater than the first preset threshold, the fingerprint identification module is prohibited from operating. So, reducible touch the fingerprint identification module because of the mistake and lead to the fingerprint identification module to frequently carry out the number of times of fingerprint identification operation, and then, reduce mobile terminal's consumption.
Fig. 6 is a schematic structural diagram of a mobile terminal according to a third embodiment of the present invention. The mobile terminal described in this embodiment includes: at least one input device 1000; at least one output device 2000; at least one processor 3000, e.g., a CPU; and a memory 4000, the input device 1000, the output device 2000, the processor 3000, and the memory 4000 being connected by a bus 5000.
The input device 1000 may be a touch panel, a physical button, or a mouse.
The output device 2000 may be a display screen.
The memory 4000 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 4000 is used for storing a set of program codes, and the input device 1000, the output device 2000 and the processor 3000 are used for calling the program codes stored in the memory 4000 to execute the following operations:
the processor 3000 is configured to:
when a contact object is sensed by the fingerprint identification module, acquiring an image of the contact object;
judging whether the image meets a first preset condition or not;
accumulating the failure times of fingerprint acquisition when the image meets the first preset condition;
and when the failure times of fingerprint acquisition are greater than a first preset threshold value, forbidding the fingerprint identification module to work.
Optionally, the processor 3000 determines whether the image meets a first preset condition, including:
judging whether the image is a fingerprint image or not, and executing the accumulated fingerprint acquisition failure times when the image is not the fingerprint image;
or,
and judging whether the area of the image is smaller than a second preset threshold value or not, and executing the accumulated fingerprint acquisition failure times when the area of the image is smaller than the second preset threshold value.
Optionally, after the prohibiting the fingerprint identification module from operating, the processor 3000 further includes:
acquiring a touch parameter for the mobile terminal;
and when the touch parameter meets a second preset condition, controlling the fingerprint identification module to enter a working state.
Optionally, after the processor 3000 controls the fingerprint identification module to enter the working state, the method further includes:
and clearing the failure times of fingerprint acquisition.
Optionally, before the acquiring the image of the contact object, the processor 3000 further includes:
detecting whether the temperature of the contact object is in a preset temperature range or not;
and when the temperature of the contact object is in the preset temperature range, acquiring the image of the contact object.
Fig. 7 is a block diagram illustrating a partial structure of a mobile phone related to a mobile terminal according to an embodiment of the present invention. Referring to fig. 7, the handset includes: radio Frequency (RF) circuit 710, memory 720, input unit 730, display unit 740, sensor 750, audio circuit 760, Wireless Fidelity (Wi-Fi) module 770, processor 780, and power supply 790. Those skilled in the art will appreciate that the handset configuration shown in fig. 7 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile phone in detail with reference to fig. 7:
the RF circuit 710 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, receives downlink information of a base station and then processes the received downlink information to the processor 780; in addition, the data for designing uplink is transmitted to the base station. In general, the RF circuit 710 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuit 710 may also communicate with networks and other devices via wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to global system for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.
The memory 720 may be used to store software programs and modules, and the processor 780 may execute various functional applications and data processing of the cellular phone by operating the software programs and modules stored in the memory 720. The memory 720 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 720 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The input unit 730 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 730 may include a touch panel 731 and other input devices 732. The touch panel 731, also referred to as a touch screen, can collect touch operations of a user (e.g. operations of the user on or near the touch panel 731 by using any suitable object or accessory such as a finger, a stylus, etc.) and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 731 may include two portions of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts it to touch point coordinates, and sends the touch point coordinates to the processor 780, and can receive and execute commands from the processor 780. In addition, the touch panel 731 may be implemented by various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 730 may include other input devices 732 in addition to the touch panel 731. In particular, other input devices 732 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 740 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The display unit 740 may include a display panel 741, and optionally, the display panel 741 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 731 can cover the display panel 741, and when the touch panel 731 detects a touch operation on or near the touch panel 731, the touch operation is transmitted to the processor 780 to determine the type of the touch event, and then the processor 780 provides a corresponding visual output on the display panel 741 according to the type of the touch event. Although the touch panel 731 and the display panel 741 are two independent components in fig. 7 to implement the input and output functions of the mobile phone, in some embodiments, the touch panel 731 and the display panel 741 may be integrated to implement the input and output functions of the mobile phone.
The handset may also include at least one sensor 750, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor that adjusts the brightness of the display panel 741 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 741 and/or a backlight when the mobile phone is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
Audio circuitry 760, speaker 761, and microphone 762 may provide an audio interface between a user and a cell phone. The audio circuit 760 can transmit the electrical signal converted from the received audio data to the speaker 761, and the electrical signal is converted into a sound signal by the speaker 761 and output; on the other hand, the microphone 762 converts the collected sound signal into an electric signal, converts the electric signal into audio data after being received by the audio circuit 760, and then processes the audio data output processor 780, and then transmits the audio data to, for example, another cellular phone through the RF circuit 710, or outputs the audio data to the memory 720 for further processing.
Wi-Fi belongs to short-distance wireless transmission technology, and the mobile phone can help a user to receive and send e-mails, browse webpages, access streaming media and the like through a Wi-Fi module 770, and provides wireless broadband internet access for the user. Although fig. 7 shows the Wi-Fi module 770, it is understood that it does not belong to the essential constitution of the handset and can be omitted entirely as needed within the scope not changing the essence of the invention.
The processor 780 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 720 and calling data stored in the memory 720, thereby integrally monitoring the mobile phone. Optionally, processor 780 may include one or more processing units; preferably, the processor 780 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 780.
The handset also includes a power supply 790 (e.g., a battery) for powering the various components, which may preferably be logically coupled to the processor 780 via a power management system, so that the power management system may be used to manage charging, discharging, and power consumption.
Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which are not described herein.
In the foregoing embodiment, the method flows of the steps may be implemented based on the structure of the mobile terminal. The sensor 770 may include a proximity sensor and a humidity sensor, and the touch panel 731 may be used as a fingerprint recognition module.
An embodiment of the present invention further provides a computer storage medium, where the computer storage medium may store a program, and the program includes, when executed, some or all of the steps of any one of the fingerprint identification methods described in the above method embodiments.
While the invention has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus (device), or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. A computer program stored/distributed on a suitable medium supplied together with or as part of other hardware, may also take other distributed forms, such as via the Internet or other wired or wireless telecommunication systems.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the invention has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the invention. Accordingly, the specification and figures are merely exemplary of the invention as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A fingerprint identification method, comprising:
when the fingerprint identification module senses a contact object, detecting whether the temperature of the contact object is within a preset temperature range;
when the temperature of the contact object is in the preset temperature range, acquiring an image of the contact object;
judging whether the image meets a first preset condition or not;
accumulating the failure times of fingerprint acquisition when the image meets the first preset condition; when the image does not meet the first preset condition, when the matching value between the acquired image and a preset fingerprint template is greater than or equal to a third threshold and less than a fingerprint unlocking threshold, keeping the current fingerprint acquisition failure times, matching the image with the preset fingerprint template, and when the matching value between the image and the preset fingerprint template is less than the third preset threshold, executing the accumulated fingerprint acquisition failure times;
and when the failure times of fingerprint acquisition are greater than a first preset threshold value, forbidding the fingerprint identification module to work.
2. The method according to claim 1, wherein the determining whether the image meets a first preset condition comprises:
judging whether the image is a fingerprint image or not, and confirming that the image meets the first preset condition when the image is not the fingerprint image;
or,
and judging whether the area of the image is smaller than a second preset threshold value or not, and confirming that the image meets the first preset condition when the area of the image is smaller than the second preset threshold value.
3. The method according to any one of claims 1 or 2, wherein after said disabling said fingerprint recognition module, said method further comprises:
acquiring a touch parameter for the mobile terminal;
and when the touch parameter meets a second preset condition, controlling the fingerprint identification module to enter a working state.
4. The method of claim 3, wherein after the controlling the fingerprint recognition module to enter the working state, the method further comprises:
and clearing the failure times of fingerprint acquisition.
5. A mobile terminal, comprising:
the detection unit is used for detecting whether the temperature of the contact object is within a preset temperature range or not when the fingerprint identification module senses the contact object;
the acquisition unit is used for acquiring the image of the contact object when the temperature of the contact object is in the preset temperature range;
the judging unit is used for judging whether the image meets a first preset condition or not;
the counting unit is used for accumulating the failure times of fingerprint acquisition when the image meets the first preset condition;
the matching unit is used for keeping the current fingerprint acquisition failure times when the matching value between the acquired image and a preset fingerprint template is greater than or equal to a third threshold and smaller than a fingerprint unlocking threshold when the image does not accord with the first preset condition, matching the image with the preset fingerprint template, and accumulating the fingerprint acquisition failure times by the counting unit when the matching result of the matching unit is that the matching value between the image and the preset fingerprint template is smaller than the third preset threshold;
and the forbidding unit is used for forbidding the fingerprint identification module to work when the failure times of fingerprint acquisition is greater than a first preset threshold value.
6. The mobile terminal according to claim 5, wherein the determining unit is specifically configured to:
judging whether the image is a fingerprint image or not, and confirming that the image meets the first preset condition when the image is not the fingerprint image;
or,
and judging whether the area of the image is smaller than a second preset threshold value or not, and confirming that the image meets the first preset condition when the area of the image is smaller than the second preset threshold value.
7. The mobile terminal according to any of claims 5 or 6, wherein the mobile terminal further comprises:
the acquisition unit is used for acquiring touch parameters aiming at the mobile terminal after the fingerprint identification module is forbidden to work;
and the control unit is used for controlling the fingerprint identification module to work and enter a working state when the touch parameter meets a second preset condition.
8. The mobile terminal of claim 7, wherein the mobile terminal further comprises:
and the clearing unit is used for clearing the failure times of fingerprint acquisition after the control unit controls the fingerprint identification module to enter a working state.
9. A mobile terminal, comprising:
a processor and a memory; wherein the processor performs the method of any one of claims 1 to 4 by calling code or instructions in the memory.
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CN107491677A (en) | 2017-08-15 | 2017-12-19 | 北京小米移动软件有限公司 | Fingerprint recognition processing method, device, equipment and storage medium |
DE112018005015T5 (en) * | 2017-09-29 | 2020-07-09 | Kabushiki Kaisha Tokai Rika Denki Seisakusho | SWITCHING DEVICE |
CN107808089A (en) * | 2017-11-21 | 2018-03-16 | 青岛海信移动通信技术股份有限公司 | A kind of fingerprint identification method, device and storage medium |
CN107958239B (en) * | 2018-01-03 | 2021-07-27 | 北京小米移动软件有限公司 | Fingerprint identification method and device |
CN109359572A (en) * | 2018-09-30 | 2019-02-19 | 联想(北京)有限公司 | Information processing method, device and electronic equipment |
CN110414449B (en) * | 2019-07-31 | 2022-01-11 | Oppo广东移动通信有限公司 | Electronic device |
CN111966206B (en) * | 2020-08-06 | 2023-09-12 | Tcl通讯(宁波)有限公司 | Power saving control method and device for fingerprint sensor and mobile terminal |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008083373A (en) * | 2006-09-27 | 2008-04-10 | Fujifilm Corp | Photographing apparatus |
CN105242870A (en) * | 2015-10-30 | 2016-01-13 | 小米科技有限责任公司 | False touch method and device of terminal with touch screen |
CN105550640A (en) * | 2015-12-07 | 2016-05-04 | 联想(北京)有限公司 | Information processing method and electronic equipment |
CN106020418A (en) * | 2016-05-16 | 2016-10-12 | 广东欧珀移动通信有限公司 | Method and apparatus for reducing power consumption of mobile terminal, and mobile terminal |
CN106127174A (en) * | 2016-06-30 | 2016-11-16 | 北京小米移动软件有限公司 | fingerprint identification method and device |
CN106108887A (en) * | 2016-06-21 | 2016-11-16 | 深圳市金立通信设备有限公司 | A kind of human body physiological parameter measuring method and terminal |
-
2017
- 2017-02-23 CN CN201710100575.4A patent/CN107016337B/en not_active Expired - Fee Related
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008083373A (en) * | 2006-09-27 | 2008-04-10 | Fujifilm Corp | Photographing apparatus |
CN105242870A (en) * | 2015-10-30 | 2016-01-13 | 小米科技有限责任公司 | False touch method and device of terminal with touch screen |
CN105550640A (en) * | 2015-12-07 | 2016-05-04 | 联想(北京)有限公司 | Information processing method and electronic equipment |
CN106020418A (en) * | 2016-05-16 | 2016-10-12 | 广东欧珀移动通信有限公司 | Method and apparatus for reducing power consumption of mobile terminal, and mobile terminal |
CN106108887A (en) * | 2016-06-21 | 2016-11-16 | 深圳市金立通信设备有限公司 | A kind of human body physiological parameter measuring method and terminal |
CN106127174A (en) * | 2016-06-30 | 2016-11-16 | 北京小米移动软件有限公司 | fingerprint identification method and device |
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