CN109063623B - Fingerprint identification method, equipment and computer storage medium - Google Patents

Fingerprint identification method, equipment and computer storage medium Download PDF

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Publication number
CN109063623B
CN109063623B CN201810835681.1A CN201810835681A CN109063623B CN 109063623 B CN109063623 B CN 109063623B CN 201810835681 A CN201810835681 A CN 201810835681A CN 109063623 B CN109063623 B CN 109063623B
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image
finger
touch
fingerprint identification
finger image
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CN109063623A (en
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王照金
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Nubia Technology Co Ltd
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Nubia Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/016Input arrangements with force or tactile feedback as computer generated output to the user
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0414Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means using force sensing means to determine a position

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Telephone Function (AREA)

Abstract

The invention discloses a fingerprint identification method, fingerprint identification equipment and a computer-storable medium. The method comprises the following steps: detecting a touch operation on a touch screen; when touch operation is detected, capturing a touch image on the touch screen; identifying whether the touch image is a finger image; and if the touch image is identified to be the finger image, starting a fingerprint identification sensor, and performing fingerprint identification on the touch image. If the touch image is identified as the image of the end part of the finger, the fingerprint identification sensor is started, the system is triggered to start a fingerprint identification process, and the fingerprint identification is carried out on the image of the end part of the finger; otherwise, the fingerprint identification sensor is not started, and the system is not triggered to start the fingerprint identification process. By the method and the device, the mistaken touch behavior in the touch operation can be distinguished, the frequent starting of the fingerprint identification sensor is avoided, the system is triggered to start the fingerprint identification process, the success rate of fingerprint identification can be increased, and the system power consumption of the mobile terminal is effectively reduced.

Description

Fingerprint identification method, equipment and computer storage medium
Technical Field
The present invention relates to the field of mobile terminal technologies, and in particular, to a fingerprint identification method, fingerprint identification apparatus, and a computer-readable storage medium.
Background
With the rapid development of electronic and communication technologies, the functions of mobile terminals are becoming more and more powerful, and the security, usability and user experience of mobile terminals are also targets pursued by terminal manufacturers and users.
It can be seen from the development history of mobile terminal screen locking that screen locking goes through secure screen locking (password screen locking), to fingerprint screen locking, and then to full-screen fingerprint screen locking.
The full-screen fingerprint screen locking not only improves the user experience effect, but also has very important significance for the full-screen. However, a full-screen fingerprint screen locking has its inherent defect, that is, it is easy to miss touch, especially in a touch interface of a full-screen terminal, a large-screen terminal, a dual-screen terminal and a single-hand mode, regardless of whether a user needs to perform fingerprint identification currently or not, and regardless of whether a currently pressed finger is, any touch will cause the mobile terminal to start the fingerprint identification sensor, and trigger the system to start the fingerprint identification process, which causes the mobile terminal to frequently start the fingerprint identification sensor and start the fingerprint identification process, and the problem of fingerprint identification failure can frequently occur, and this problem greatly increases the power consumption of the system.
Disclosure of Invention
The invention mainly aims to provide a fingerprint identification method, fingerprint identification equipment and a computer storage medium, and aims to solve the problem that the power consumption of a system is increased due to the fact that a fingerprint identification sensor is started by an existing mobile terminal aiming at any touch and a system is triggered to start a fingerprint identification process.
Aiming at the technical problems, the invention solves the technical problems by the following technical scheme:
the invention provides a fingerprint identification method, which comprises the following steps: detecting a touch operation on a touch screen; when touch operation is detected, capturing a touch image on the touch screen; identifying whether the touch image is a finger image; and if the touch image is identified to be the finger image, starting a fingerprint identification sensor, and performing fingerprint identification on the touch image.
Wherein identifying whether the touch image is a finger image comprises: identifying whether the touch image is a finger image or not according to the size of the finger image of the user; or, according to the shape of the reference finger image, identifying whether the touch image is a finger image; or preliminarily identifying whether the touch image is the finger image according to the size of the finger image of the user, and further identifying whether the touch image is the finger image according to the shape of the reference finger image when the touch image is preliminarily determined to be the finger image.
Before identifying whether the touch image is the finger image according to the size of the finger image of the user, the method further comprises the following steps: collecting finger images input by a user for multiple times, determining the size of each finger image, and obtaining the size ranges of the finger images.
Wherein, the identifying whether the touch image is a finger image according to the size of the finger image of the user comprises: identifying whether the size of the touch image is within the size range; and if the size range is within the size range, judging that the touch image is a finger image.
Wherein the size range includes: a transverse length range and a longitudinal length range; the obtaining of the size ranges of the plurality of finger images comprises: determining an area of each of the finger images; determining the finger image with the largest area and the finger image with the smallest area; obtaining a transverse length range according to the transverse length of the finger image with the largest area and the transverse length of the finger image with the smallest area, and obtaining a longitudinal length range according to the longitudinal length of the finger image with the largest area and the longitudinal length of the finger image with the smallest area; or, determining the transverse length and the longitudinal length of each finger image; obtaining a transverse length range according to the maximum transverse length and the minimum transverse length, and obtaining a longitudinal length range according to the maximum longitudinal length and the minimum longitudinal length; or, determining the transverse length and the longitudinal length of each finger image; in the finger image in which both the lateral length and the longitudinal length are the largest and the finger image in which both the lateral length and the longitudinal length are the smallest, the lateral length range is obtained from the largest lateral length and the smallest lateral length, and the longitudinal length range is obtained from the largest longitudinal length and the smallest longitudinal length.
Wherein the identifying whether the touch image is a finger image according to the shape of the reference finger image includes: acquiring a plurality of reference finger images; respectively calculating the shape similarity of each reference finger image and the touch image; and if the shape similarity of at least one reference finger image and the touch image is greater than a preset similarity threshold value, judging that the touch image is a finger image.
Wherein after performing fingerprint recognition on the touch image, the method further comprises: if the fingerprint identification of the touch image is successful, unlocking a screen, and displaying a main interface, starting a preset application program or displaying a foreground running application program; and the preset application program corresponds to the fingerprint corresponding to the touch image.
Wherein the method further comprises: deleting the touch image after recognizing whether the touch image is a finger image or not.
The invention also provides fingerprint identification equipment, which comprises a processor and a memory; the processor is used for executing the fingerprint identification program stored in the memory so as to realize the fingerprint identification method.
The present invention further provides a computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the fingerprint recognition method described above.
The fingerprint identification method, the fingerprint identification equipment and the computer storage medium have the following beneficial effects that:
if the touch image is identified to be the image of the end part of the finger (finger image), the fingerprint identification sensor is started, the system is triggered to start a fingerprint identification process, and fingerprint identification is carried out on the image of the end part of the finger; otherwise, the fingerprint identification sensor is not started, and the system is not triggered to start the fingerprint identification process. By the method and the device, the mistaken touch behavior in the touch operation can be distinguished, the frequent starting of the fingerprint identification sensor is avoided, the system is triggered to start the fingerprint identification process, the success rate of fingerprint identification can be increased, and the system power consumption of the mobile terminal is effectively reduced.
Drawings
Fig. 1 is a schematic diagram of a hardware structure of an optional mobile terminal for implementing various embodiments of the present invention;
FIG. 2 is a diagram of a wireless communication system for the mobile terminal shown in FIG. 1;
FIG. 3 is a flowchart of a fingerprint recognition method according to a first embodiment of the present invention;
FIG. 4 is a flowchart of a fingerprint recognition method according to a second embodiment of the present invention;
FIG. 5 is a flowchart of a fingerprint recognition method according to a third embodiment of the present invention;
fig. 6 is a block diagram of a fingerprint recognition device according to a fourth embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
A mobile terminal implementing various embodiments of the present invention will now be described with reference to the accompanying drawings. In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.
The mobile terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a navigation device, and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. In the following, it is assumed that the terminal is a mobile terminal. However, it will be understood by those skilled in the art that the configuration according to the embodiment of the present invention can be applied to a fixed type terminal in addition to elements particularly used for moving purposes.
Fig. 1 is a schematic hardware structure of an optional mobile terminal for implementing various embodiments of the present invention.
The mobile terminal 100 may include a wireless communication unit 110, an a/V (audio/video) input unit 120, a user input unit 130, a sensing unit 140, an output unit 150, a memory 160, an interface unit 170, a controller 180, and a power supply unit 190, etc. Fig. 1 illustrates a mobile terminal having various components, but it is to be understood that not all illustrated components are required to be implemented. More or fewer components may alternatively be implemented. Elements of the mobile terminal will be described in detail below.
The wireless communication unit 110 typically includes one or more components that allow radio communication between the mobile terminal 100 and a wireless communication system or network. For example, the wireless communication unit may include at least one of a broadcast receiving module 111, a mobile communication module 112, a wireless internet module 113, a short-range communication module 114, and a location information module 115.
The broadcast receiving module 111 is externally broadcast via a broadcast channelThe broadcast management server receives a broadcast signal and/or broadcast associated information. The broadcast channel may include a satellite channel and/or a terrestrial channel. The broadcast management server may be a server that generates and transmits a broadcast signal and/or broadcast associated information or a server that receives a previously generated broadcast signal and/or broadcast associated information and transmits it to a terminal. The broadcast signal may include a TV broadcast signal, a radio broadcast signal, a data broadcast signal, and the like. Also, the broadcast signal may further include a broadcast signal combined with a TV or radio broadcast signal. The broadcast associated information may also be provided via a mobile communication network, and in this case, the broadcast associated information may be received by the mobile communication module 112. The broadcast signal may exist in various forms, for example, it may exist in the form of an Electronic Program Guide (EPG) of Digital Multimedia Broadcasting (DMB), an Electronic Service Guide (ESG) of digital video broadcasting-handheld (DVB-H), and the like. The broadcast receiving module 111 may receive a signal broadcast by using various types of broadcasting systems. In particular, the broadcast receiving module 111 may receive a broadcast signal by using a signal such as multimedia broadcasting-terrestrial (DMB-T), digital multimedia broadcasting-satellite (DMB-S), digital video broadcasting-handheld (DVB-H), forward link media (MediaFLO)@) A digital broadcasting system of a terrestrial digital broadcasting integrated service (ISDB-T), etc. receives digital broadcasting. The broadcast receiving module 111 may be constructed to be suitable for various broadcasting systems that provide broadcast signals as well as the above-mentioned digital broadcasting systems. The broadcast signal and/or broadcast associated information received via the broadcast receiving module 111 may be stored in the memory 160 (or other type of storage medium).
The mobile communication module 112 transmits and/or receives radio signals to and/or from at least one of a base station (e.g., access point, node B, etc.), an external terminal, and a server. Such radio signals may include voice call signals, video call signals, or various types of data transmitted and/or received according to text and/or multimedia messages.
The wireless internet module 113 supports wireless internet access of the mobile terminal. The module may be internally or externally coupled to the terminal. The wireless internet access technology to which the module relates may include WLAN (wireless LAN) (Wi-Fi), Wibro (wireless broadband), Wimax (worldwide interoperability for microwave access), HSDPA (high speed downlink packet access), and the like.
The short-range communication module 114 is a module for supporting short-range communication. Some examples of short-range communication technologies include bluetoothTMRadio Frequency Identification (RFID), infrared data association (IrDA), Ultra Wideband (UWB), zigbeeTMAnd so on.
The location information module 115 is a module for checking or acquiring location information of the mobile terminal. A typical example of the location information module is a GPS (global positioning system). According to the current technology, the GPS module 115 calculates distance information and accurate time information from three or more satellites and applies triangulation to the calculated information, thereby accurately calculating three-dimensional current location information according to longitude, latitude, and altitude. Currently, a method for calculating position and time information uses three satellites and corrects an error of the calculated position and time information by using another satellite. In addition, the GPS module 115 can calculate speed information by continuously calculating current position information in real time.
The a/V input unit 120 is used to receive an audio or video signal. The a/V input unit 120 may include a camera 121 and a microphone 122, and the camera 121 processes image data of still pictures or video obtained by an image capturing apparatus in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 151. The image frames processed by the cameras 121 may be stored in the memory 160 (or other storage medium) or transmitted via the wireless communication unit 110, and two or more cameras 121 may be provided according to the construction of the mobile terminal. The microphone 122 may receive sounds (audio data) via the microphone in a phone call mode, a recording mode, a voice recognition mode, or the like, and can process such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the mobile communication module 112 in case of a phone call mode. The microphone 122 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The user input unit 130 may generate key input data according to a command input by a user to control various operations of the mobile terminal. The user input unit 130 allows a user to input various types of information, and may include a keyboard, dome sheet, touch pad (e.g., a touch-sensitive member that detects changes in resistance, pressure, capacitance, and the like due to being touched), scroll wheel, joystick, and the like. In particular, when the touch pad is superimposed on the display unit 151 in the form of a layer, a touch screen may be formed.
The sensing unit 140 detects a current state of the mobile terminal 100 (e.g., an open or closed state of the mobile terminal 100), a position of the mobile terminal 100, presence or absence of contact (i.e., touch input) by a user with the mobile terminal 100, an orientation of the mobile terminal 100, acceleration or deceleration movement and direction of the mobile terminal 100, and the like, and generates a command or signal for controlling an operation of the mobile terminal 100. For example, when the mobile terminal 100 is implemented as a slide-type mobile phone, the sensing unit 140 may sense whether the slide-type phone is opened or closed. In addition, the sensing unit 140 can detect whether the power supply unit 190 supplies power or whether the interface unit 170 is coupled with an external device.
The interface unit 170 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The identification module may store various information for authenticating a user using the mobile terminal 100 and may include a User Identity Module (UIM), a Subscriber Identity Module (SIM), a Universal Subscriber Identity Module (USIM), and the like. In addition, a device having an identification module (hereinafter, referred to as an "identification device") may take the form of a smart card, and thus, the identification device may be connected with the mobile terminal 100 via a port or other connection means. The interface unit 170 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal and the external device.
In addition, when the mobile terminal 100 is connected with an external cradle, the interface unit 170 may serve as a path through which power is supplied from the cradle to the mobile terminal 100 or may serve as a path through which various command signals input from the cradle are transmitted to the mobile terminal. Various command signals or power input from the cradle may be used as signals for recognizing whether the mobile terminal is accurately mounted on the cradle. The output unit 150 is configured to provide output signals (e.g., audio signals, video signals, alarm signals, vibration signals, etc.) in a visual, audio, and/or tactile manner. The output unit 150 may include a display unit 151, an audio output module 152, an alarm unit 153, and the like.
The display unit 151 may display information processed in the mobile terminal 100. For example, when the mobile terminal 100 is in a phone call mode, the display unit 151 may display a User Interface (UI) or a Graphical User Interface (GUI) related to a call or other communication (e.g., text messaging, multimedia file downloading, etc.). When the mobile terminal 100 is in a video call mode or an image capturing mode, the display unit 151 may display a captured image and/or a received image, a UI or GUI showing a video or an image and related functions, and the like.
Meanwhile, when the display unit 151 and the touch pad are overlapped with each other in the form of a layer to form a touch screen, the display unit 151 may serve as an input device and an output device. The display unit 151 may include at least one of a Liquid Crystal Display (LCD), a thin film transistor LCD (TFT-LCD), an Organic Light Emitting Diode (OLED) display, a flexible display, a three-dimensional (3D) display, and the like. Some of these displays may be configured to be transparent to allow a user to view from the outside, which may be referred to as transparent displays, and a typical transparent display may be, for example, a TOLED (transparent organic light emitting diode) display or the like. Depending on the particular desired implementation, the mobile terminal 100 may include two or more display units (or other display devices), for example, the mobile terminal may include an external display unit (not shown) and an internal display unit (not shown). The touch screen may be used to detect a touch input pressure as well as a touch input position and a touch input area.
The audio output module 152 may convert audio data received by the wireless communication unit 110 or stored in the memory 160 into an audio signal and output as sound when the mobile terminal is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output module 152 may provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output module 152 may include a speaker, a buzzer, and the like.
The alarm unit 153 may provide an output to notify the mobile terminal 100 of the occurrence of an event. Typical events may include call reception, message reception, key signal input, touch input, and the like. In addition to audio or video output, the alarm unit 153 may provide output in different ways to notify the occurrence of an event. For example, the alarm unit 153 may provide an output in the form of vibration, and when a call, a message, or some other incoming communication (communicating communication) is received, the alarm unit 153 may provide a tactile output (i.e., vibration) to inform the user thereof. By providing such a tactile output, the user can recognize the occurrence of various events even when the user's mobile phone is in the user's pocket. The alarm unit 153 may also provide an output notifying the occurrence of an event via the display unit 151 or the audio output module 152.
The memory 160 may store software programs and the like for processing and controlling operations performed by the controller 180, or may temporarily store data (e.g., a phonebook, messages, still images, videos, and the like) that has been or will be output. Also, the memory 160 may store data regarding various ways of vibration and audio signals output when a touch is applied to the touch screen.
The memory 160 may include at least one type of storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. Also, the mobile terminal 100 may cooperate with a network storage device that performs a storage function of the memory 160 through a network connection.
The controller 180 generally controls the overall operation of the mobile terminal. For example, the controller 180 performs control and processing related to voice calls, data communications, video calls, and the like. In addition, the controller 180 may include a multimedia module 181 for reproducing (or playing back) multimedia data, and the multimedia module 181 may be constructed within the controller 180 or may be constructed separately from the controller 180. The controller 180 may perform a pattern recognition process to recognize a handwriting input or a picture drawing input performed on the touch screen as a character or an image.
The power supply unit 190 receives external power or internal power and provides appropriate power required to operate various elements and components under the control of the controller 180.
The various embodiments described herein may be implemented in a computer-readable medium using, for example, computer software, hardware, or any combination thereof. For a hardware implementation, the embodiments described herein may be implemented using at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, an electronic unit designed to perform the functions described herein, and in some cases, such embodiments may be implemented in the controller 180. For a software implementation, the implementation such as a process or a function may be implemented with a separate software module that allows performing at least one function or operation. The software codes may be implemented by software applications (or programs) written in any suitable programming language, which may be stored in the memory 160 and executed by the controller 180.
Up to this point, mobile terminals have been described in terms of their functionality. Hereinafter, a slide-type mobile terminal among various types of mobile terminals, such as a folder-type, bar-type, swing-type, slide-type mobile terminal, and the like, will be described as an example for the sake of brevity. Accordingly, the present invention can be applied to any type of mobile terminal, and is not limited to a slide type mobile terminal.
The mobile terminal 100 as shown in fig. 1 may be configured to operate with communication systems such as wired and wireless communication systems and satellite-based communication systems that transmit data via frames or packets.
A communication system in which a mobile terminal according to the present invention is operable will now be described with reference to fig. 2.
Such communication systems may use different air interfaces and/or physical layers. For example, the air interface used by the communication system includes, for example, Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), Code Division Multiple Access (CDMA), and Universal Mobile Telecommunications System (UMTS) (in particular, Long Term Evolution (LTE)), global system for mobile communications (GSM), and the like. By way of non-limiting example, the following description relates to a CDMA communication system, but such teachings are equally applicable to other types of systems.
Referring to fig. 2, the CDMA wireless communication system may include a plurality of mobile terminals 100, a plurality of Base Stations (BSs) 270, Base Station Controllers (BSCs) 275, and a Mobile Switching Center (MSC) 280. The MSC280 is configured to interface with a Public Switched Telephone Network (PSTN) 290. The MSC280 is also configured to interface with a BSC275, which may be coupled to the base station 270 via a backhaul. The backhaul may be constructed according to any of several known interfaces including, for example, E1/T1, ATM, IP, PPP, frame Relay, HDSL, ADSL, or xDSL. It will be understood that a system as shown in fig. 2 may include multiple BSCs 275.
Each BS270 may serve one or more sectors (or regions), each sector covered by a multi-directional antenna or an antenna pointing in a particular direction being radially distant from the BS 270. Alternatively, each partition may be covered by two or more antennas for diversity reception. Each BS270 may be configured to support multiple frequency allocations, with each frequency allocation having a particular frequency spectrum (e.g., 1.25MHz, 5MHz, etc.).
The intersection of partitions with frequency allocations may be referred to as a CDMA channel. The BS270 may also be referred to as a Base Transceiver Subsystem (BTS) or other equivalent terminology. In such a case, the term "base station" may be used to generically refer to a single BSC275 and at least one BS 270. The base stations may also be referred to as "cells". Alternatively, each sector of a particular BS270 may be referred to as a plurality of cell sites.
As shown in fig. 2, a Broadcast Transmitter (BT)295 transmits a broadcast signal to the mobile terminal 100 operating within the system. A broadcast receiving module 111 as shown in fig. 1 is provided at the mobile terminal 100 to receive a broadcast signal transmitted by the BT 295. In fig. 2, several Global Positioning System (GPS) satellites 300 are shown. The satellite 300 assists in locating at least one of the plurality of mobile terminals 100.
In fig. 2, a plurality of satellites 300 are depicted, but it is understood that useful positioning information may be obtained with any number of satellites. The GPS module 115 as shown in fig. 1 is generally configured to cooperate with satellites 300 to obtain desired positioning information. Other techniques that can track the location of the mobile terminal may be used instead of or in addition to GPS tracking techniques. In addition, at least one GPS satellite 300 may selectively or additionally process satellite DMB transmission.
As a typical operation of the wireless communication system, the BS270 receives reverse link signals from various mobile terminals 100. The mobile terminal 100 is generally engaged in conversations, messaging, and other types of communications. Each reverse link signal received by a particular base station 270 is processed within the particular BS 270. The obtained data is forwarded to the associated BSC 275. The BSC provides call resource allocation and mobility management functions including coordination of soft handoff procedures between BSs 270. The BSCs 275 also route the received data to the MSC280, which provides additional routing services for interfacing with the PSTN 290. Similarly, the PSTN290 interfaces with the MSC280, the MSC interfaces with the BSCs 275, and the BSCs 275 accordingly control the BS270 to transmit forward link signals to the mobile terminal 100.
Based on the above mobile terminal hardware structure and communication system, the present invention provides various embodiments of the method.
Example one
The embodiment provides a fingerprint identification method. The execution main body of the implementation is a mobile terminal which is provided with a touch screen and a fingerprint identification sensor and can execute a fingerprint identification process.
Fig. 3 is a flowchart of a fingerprint recognition method according to a first embodiment of the present invention.
Step S310, detecting touch operation on the touch screen.
The touch operation is an operation of performing touch formation on the touch panel.
The touch is a touch of any part of the body. For example: the touch is formed by finger touch and the touch is formed by palm touch.
Step S320, when a touch operation is detected, capturing a touch image on the touch screen.
The touch image is an image of a touch screen portion.
Step S330, identifying whether the touch image is a finger image; if yes, go to step S340; if not, step S350 is performed.
The finger image is an image of the end of the finger. The finger tip contains a fingerprint, and fingerprint identification is to identify the fingerprint in the finger image.
And identifying whether the size and/or the shape of the touch image conforms to the size and/or the shape of the finger image by using a preset neural network.
Specifically, the neural network may identify whether the touch image is a finger image according to a size of the finger image of the user; or, according to the shape of the reference finger image, identifying whether the touch image is a finger image; or preliminarily identifying whether the touch image is the finger image according to the size of the finger image of the user, and further identifying whether the touch image is the finger image according to the shape of the reference finger image when the touch image is preliminarily determined to be the finger image. Wherein, the user refers to a legal user of the mobile terminal.
Step S340, if the touch image is identified as a finger image, turning on a fingerprint identification sensor, and performing fingerprint identification on the touch image.
Step S350, if the touch image is not the finger image, the fingerprint sensor is not turned on, and the process is ended.
In this embodiment, if the touch image is identified as an image of a finger tip (finger image), the fingerprint identification sensor is turned on, and the system is triggered to start a fingerprint identification process to perform fingerprint identification on the image of the finger tip; otherwise, the fingerprint identification sensor is not started, and the system is not triggered to start the fingerprint identification process. The mistake in the operation of touching can be distinguished through this embodiment and is touched the action, avoids frequently opening the fingerprint identification sensor, triggers the system and starts the fingerprint identification flow, can increase fingerprint identification's success rate, effectively reduces mobile terminal's system consumption, promotes user experience effect.
In this embodiment, after performing fingerprint recognition on the touch image, the method further includes: and if the fingerprint identification of the touch image is successful, unlocking the screen, and displaying a main interface, starting a preset application program or displaying a foreground running application program. The preset application program corresponds to the fingerprint corresponding to the touch image. In the embodiment, after the fingerprint identification is successful, the screen is unlocked, and if the foreground of the mobile terminal does not run the application program before the screen is locked, the main interface is displayed after the unlocking; if the application program runs in the foreground of the mobile terminal before the screen is locked, displaying a user interface displayed by the application program before the screen is locked after unlocking; and if the fingerprint in the touch image is identified to have the corresponding application program, displaying the corresponding user interface of the application degree after unlocking.
In the present embodiment, after the touch image is recognized as the finger image or not, the touch image is deleted. In the embodiment, whether the touch image is a finger image or not, the captured touch image needs to be deleted, so that the system memory is prevented from being occupied.
Example two
This embodiment explains a method of performing fingerprint recognition based on the size of a finger image of a user.
Fig. 4 is a flowchart of a fingerprint identification method according to a second embodiment of the present invention.
Step S410, collecting finger images input by a user for multiple times, determining the size of each finger image, and obtaining the size range of the finger images.
The size range includes: a lateral length extent and a longitudinal length extent.
Determining an area of each of the finger images in a plurality of the finger images; determining the finger image with the largest area and the finger image with the smallest area; obtaining a transverse length range according to the transverse length of the finger image with the largest area and the transverse length of the finger image with the smallest area, and obtaining a longitudinal length range according to the longitudinal length of the finger image with the largest area and the longitudinal length of the finger image with the smallest area; alternatively, the first and second electrodes may be,
determining a lateral length and a longitudinal length of each of the finger images in a plurality of the finger images; obtaining a transverse length range according to the maximum transverse length and the minimum transverse length, and obtaining a longitudinal length range according to the maximum longitudinal length and the minimum longitudinal length; alternatively, the first and second electrodes may be,
determining a lateral length and a longitudinal length of each of the finger images in a plurality of the finger images; in the finger image in which both the lateral length and the longitudinal length are the largest and the finger image in which both the lateral length and the longitudinal length are the smallest, the lateral length range is obtained from the largest lateral length and the smallest lateral length, and the longitudinal length range is obtained from the largest longitudinal length and the smallest longitudinal length.
For example: when a user starts the mobile terminal for the first time, prompting the user to input a fingerprint for unlocking a screen, and in the process of inputting the fingerprint for multiple times by the user, capturing a finger image input by the user each time, determining the size of the finger image input each time, and determining the size range of the finger images input for multiple times.
Step S420, identifying whether the size of the touch image is within the size range; if yes, go to step S430; if not, step S440 is performed.
Step 1, determining the transverse length and the longitudinal length of a touch image.
Step 2, judging whether the transverse length of the touch image is within the transverse length range; if yes, executing step 3; if not, step 5 is performed.
Step 3, judging whether the longitudinal length of the touch image is within the range of the longitudinal length; if yes, executing step 4; if not, step 5 is performed.
And 4, judging that the size of the touch image is in the size range.
And 5, judging that the size of the touch image is not in the size range.
In step S430, if the size is within the size range, it is determined that the touch image is a finger image.
If the size of the touch image is within the size range, the touch image can be indicated to be a valid finger image, the fingerprint identification sensor can be started, the touch image is input, fingerprint identification is carried out on the touch image, and whether the user inputting the touch image is a legal user or not is judged.
If the fingerprinting is successful, predefined functions are performed, such as: and unlocking the screen, and displaying a main interface, starting a preset application program or displaying a foreground running application program.
In step S440, if the size is not within the size range, it is determined that the touch image is not a finger image.
If the size of the touch image is not within the size range, the touch image is caused by false touch, the false touch is invalid operation, the fingerprint identification sensor does not need to be started, and unnecessary starting of the fingerprint identification sensor is avoided.
In this embodiment, before opening the fingerprint identification sensor, snatch the touching image on the touch-sensitive screen earlier, whether the size discernment touching image according to touching image is the image of finger tip, if yes, then open the fingerprint identification sensor, if not, then do not open the fingerprint identification sensor to avoided because the mistake touches the operation of frequently opening the fingerprint identification sensor that causes, reduced the system consumption, increased the fingerprint identification success rate, promoted user experience effect.
EXAMPLE III
Fig. 5 is a flowchart of a fingerprint identification method according to a third embodiment of the present invention.
In step S510, a plurality of reference finger images are acquired.
Before the mobile terminal leaves a factory, a fingerprint library is implanted, the fingerprint library comprises a plurality of finger images, and the finger images in the fingerprint library are images of finger ends of various crowds, such as finger images of old people, finger images of adults, finger images of children and the like. And taking a plurality of finger images in the fingerprint library as reference finger images.
Step S520, calculating the shape similarity between each reference finger image and the touch image.
And calculating the similarity of the shape of the touch image and each reference finger image in the fingerprint database.
In step S530, if the shape similarity between at least one of the reference finger images and the touch image is greater than a preset similarity threshold, it is determined that the touch image is a finger image.
And if the shape similarity of all the reference finger images and the touch images in the fingerprint library is less than or equal to the similarity threshold, judging that the touch images are not the finger images.
In this embodiment, before opening the fingerprint identification sensor, snatch the touching image on the touch-sensitive screen earlier, whether the shape discernment touching image according to touching image is the image of finger tip, if yes, then open the fingerprint identification sensor, if not, then do not open the fingerprint identification sensor to avoided because the mistake touches the operation of frequently opening the fingerprint identification sensor that causes, reduced the system consumption, increased the fingerprint identification success rate, promoted user experience effect.
Example four
The embodiment provides a fingerprint identification device. Fig. 6 is a block diagram of a fingerprint recognition device according to a fourth embodiment of the present invention.
In this embodiment, the fingerprint recognition device 600 includes, but is not limited to: a processor 610, a memory 620.
The processor 610 is configured to execute the fingerprint identification program stored in the memory 620 to implement the fingerprint identification method according to the first to fourth embodiments.
In particular, the processor 610 is configured to execute a fingerprinting program stored in the memory 620 to implement the following steps: detecting a touch operation on a touch screen; when touch operation is detected, capturing a touch image on the touch screen; identifying whether the touch image is a finger image; and if the touch image is identified to be the finger image, starting a fingerprint identification sensor, and performing fingerprint identification on the touch image.
Optionally, identifying whether the touch image is a finger image includes: identifying whether the touch image is a finger image or not according to the size of the finger image of the user; or, according to the shape of the reference finger image, identifying whether the touch image is a finger image; or preliminarily identifying whether the touch image is the finger image according to the size of the finger image of the user, and further identifying whether the touch image is the finger image according to the shape of the reference finger image when the touch image is preliminarily determined to be the finger image.
Optionally, before the identifying whether the touch image is a finger image according to the size of the finger image of the user, the method further includes: collecting finger images input by a user for multiple times, determining the size of each finger image, and obtaining the size ranges of the finger images.
Optionally, the identifying whether the touch image is a finger image according to the size of the finger image of the user includes: identifying whether the size of the touch image is within the size range; and if the size range is within the size range, judging that the touch image is a finger image.
Optionally, the size range includes: a transverse length range and a longitudinal length range; the determining a size range of the plurality of finger images comprises: determining an area of each of the finger images; determining the finger image with the largest area and the finger image with the smallest area; obtaining a transverse length range according to the transverse length of the finger image with the largest area and the transverse length of the finger image with the smallest area, and obtaining a longitudinal length range according to the longitudinal length of the finger image with the largest area and the longitudinal length of the finger image with the smallest area; or, determining the transverse length and the longitudinal length of each finger image; obtaining a transverse length range according to the maximum transverse length and the minimum transverse length, and obtaining a longitudinal length range according to the maximum longitudinal length and the minimum longitudinal length; or, determining the transverse length and the longitudinal length of each finger image; in the finger image in which both the lateral length and the longitudinal length are the largest and the finger image in which both the lateral length and the longitudinal length are the smallest, the lateral length range is obtained from the largest lateral length and the smallest lateral length, and the longitudinal length range is obtained from the largest longitudinal length and the smallest longitudinal length.
Optionally, the identifying whether the touch image is a finger image according to the shape of the reference finger image includes: acquiring a plurality of reference finger images; respectively calculating the shape similarity of each reference finger image and the touch image; and if the shape similarity of at least one reference finger image and the touch image is greater than a preset similarity threshold value, judging that the touch image is a finger image.
Optionally, after performing fingerprint recognition on the touch image, the method further includes: if the fingerprint identification of the touch image is successful, unlocking a screen, and displaying a main interface, starting a preset application program or displaying a foreground running application program; and the preset application program corresponds to the fingerprint corresponding to the touch image.
Optionally, after the touch image is identified as the finger image or not, the touch image is deleted.
EXAMPLE five
The embodiment of the invention also provides a computer storage medium. The computer-storable medium herein stores one or more programs. Among other things, computer-readable storage media may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.
When one or more programs in the computer-readable storage medium are executed by one or more processors, the fingerprinting method described above is implemented.
In particular, the processor is configured to execute a fingerprinting program stored in the memory to implement the following steps: detecting a touch operation on a touch screen; when touch operation is detected, capturing a touch image on the touch screen; identifying whether the touch image is a finger image; and if the touch image is identified to be the finger image, starting a fingerprint identification sensor, and performing fingerprint identification on the touch image.
Optionally, identifying whether the touch image is a finger image includes: identifying whether the touch image is a finger image or not according to the size of the finger image of the user; or, according to the shape of the reference finger image, identifying whether the touch image is a finger image; or preliminarily identifying whether the touch image is the finger image according to the size of the finger image of the user, and further identifying whether the touch image is the finger image according to the shape of the reference finger image when the touch image is preliminarily determined to be the finger image.
Optionally, before the identifying whether the touch image is a finger image according to the size of the finger image of the user, the method further includes: collecting finger images input by a user for multiple times, determining the size of each finger image, and obtaining the size ranges of the finger images.
Optionally, the identifying whether the touch image is a finger image according to the size of the finger image of the user includes: identifying whether the size of the touch image is within the size range; and if the size range is within the size range, judging that the touch image is a finger image.
Optionally, the size range includes: a transverse length range and a longitudinal length range; the determining a size range of the plurality of finger images comprises: determining an area of each of the finger images; determining the finger image with the largest area and the finger image with the smallest area; obtaining a transverse length range according to the transverse length of the finger image with the largest area and the transverse length of the finger image with the smallest area, and obtaining a longitudinal length range according to the longitudinal length of the finger image with the largest area and the longitudinal length of the finger image with the smallest area; or, determining the transverse length and the longitudinal length of each finger image; obtaining a transverse length range according to the maximum transverse length and the minimum transverse length, and obtaining a longitudinal length range according to the maximum longitudinal length and the minimum longitudinal length; or, determining the transverse length and the longitudinal length of each finger image; in the finger image in which both the lateral length and the longitudinal length are the largest and the finger image in which both the lateral length and the longitudinal length are the smallest, the lateral length range is obtained from the largest lateral length and the smallest lateral length, and the longitudinal length range is obtained from the largest longitudinal length and the smallest longitudinal length.
Optionally, the identifying whether the touch image is a finger image according to the shape of the reference finger image includes: acquiring a plurality of reference finger images; respectively calculating the shape similarity of each reference finger image and the touch image; and if the shape similarity of at least one reference finger image and the touch image is greater than a preset similarity threshold value, judging that the touch image is a finger image.
Optionally, after performing fingerprint recognition on the touch image, the method further includes: if the fingerprint identification of the touch image is successful, unlocking a screen, and displaying a main interface, starting a preset application program or displaying a foreground running application program; and the preset application program corresponds to the fingerprint corresponding to the touch image.
Optionally, after the touch image is identified as the finger image or not, the touch image is deleted.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (9)

1. A fingerprint identification method, characterized in that the method comprises the steps of:
detecting a touch operation on a touch screen;
when touch operation is detected, capturing a touch image on the touch screen;
identifying whether the touch image is a finger image;
if the touch image is identified to be a finger image, starting a fingerprint identification sensor, and performing fingerprint identification on the touch image;
wherein the identifying whether the touch image is a finger image comprises:
identifying whether the touch image is a finger image or not based on whether the size of the touch image is within a preset size range or not, wherein the preset size range is determined based on the sizes of a plurality of finger images of fingerprints for unlocking a screen, which are input when a user opens the mobile terminal for the first time;
the size range includes: a transverse length range and a longitudinal length range;
obtaining a plurality of size ranges of the finger image, including:
determining an area of each of the finger images; determining the finger image with the largest area and the finger image with the smallest area; obtaining a transverse length range according to the transverse length of the finger image with the largest area and the transverse length of the finger image with the smallest area, and obtaining a longitudinal length range according to the longitudinal length of the finger image with the largest area and the longitudinal length of the finger image with the smallest area; alternatively, the first and second electrodes may be,
determining a lateral length and a longitudinal length of each of the finger images; obtaining a transverse length range according to the maximum transverse length and the minimum transverse length, and obtaining a longitudinal length range according to the maximum longitudinal length and the minimum longitudinal length; alternatively, the first and second electrodes may be,
determining a lateral length and a longitudinal length of each of the finger images; in the finger image in which both the lateral length and the longitudinal length are the largest and the finger image in which both the lateral length and the longitudinal length are the smallest, the lateral length range is obtained from the largest lateral length and the smallest lateral length, and the longitudinal length range is obtained from the largest longitudinal length and the smallest longitudinal length.
2. The method of claim 1, wherein identifying whether the touch image is a finger image comprises:
identifying whether the touch image is a finger image or not according to the size of the finger image of the user; alternatively, the first and second electrodes may be,
identifying whether the touch image is a finger image or not according to the shape of the reference finger image; alternatively, the first and second electrodes may be,
and preliminarily identifying whether the touch image is the finger image according to the size of the finger image of the user, and further identifying whether the touch image is the finger image according to the shape of the reference finger image when the touch image is preliminarily judged to be the finger image.
3. The method according to claim 2, before the identifying whether the touch image is a finger image according to a size of the user's finger image, further comprising:
collecting finger images input by a user for multiple times, determining the size of each finger image, and obtaining the size ranges of the finger images.
4. The method of claim 3, wherein the identifying whether the touch image is a finger image according to a size of the finger image of the user comprises:
identifying whether the size of the touch image is within the size range;
and if the size range is within the size range, judging that the touch image is a finger image.
5. The method according to claim 2, wherein the identifying whether the touch image is a finger image according to the shape of the reference finger image comprises:
acquiring a plurality of reference finger images;
respectively calculating the shape similarity of each reference finger image and the touch image;
and if the shape similarity of at least one reference finger image and the touch image is greater than a preset similarity threshold value, judging that the touch image is a finger image.
6. The method according to any one of claims 1 to 5, further comprising, after performing fingerprint recognition on the touch image:
if the fingerprint identification of the touch image is successful, unlocking a screen, and displaying a main interface, starting a preset application program or displaying a foreground running application program;
and the preset application program corresponds to the fingerprint corresponding to the touch image.
7. The method according to any one of claims 1 to 5, further comprising: deleting the touch image after recognizing whether the touch image is a finger image or not.
8. A fingerprint identification device, wherein the fingerprint identification device comprises a processor, a memory; the processor is used for executing the fingerprint identification program stored in the memory to realize the fingerprint identification method of any one of claims 1-7.
9. A computer-storable medium that stores one or more programs executable by one or more processors to implement the fingerprint recognition method of any one of claims 1-7.
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