CN112528704A - Information processing method and device - Google Patents
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- CN112528704A CN112528704A CN201910878677.8A CN201910878677A CN112528704A CN 112528704 A CN112528704 A CN 112528704A CN 201910878677 A CN201910878677 A CN 201910878677A CN 112528704 A CN112528704 A CN 112528704A
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- 230000010365 information processing Effects 0.000 title claims abstract description 40
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- G—PHYSICS
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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
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
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- G06Q20/00—Payment architectures, schemes or protocols
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- G06Q20/401—Transaction verification
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- G06Q20/40145—Biometric identity checks
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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
- G06V40/1382—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/40—Spoof detection, e.g. liveness detection
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Abstract
The application discloses an information processing method and device. Wherein the method comprises the following steps: emitting a detection signal for detecting a living body target; if a living body target is detected, target device information of a target device carried by the living body target is detected; and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected. By adopting the method provided by the application, the authentication efficiency of the living body to be detected is improved.
Description
Technical Field
The present application relates to the field of computers, and in particular, to an information processing method and apparatus.
Background
With the continuous development of information technology, the number of payments made over the internet is increasing, and cash payments are gradually fading out of the view of people. The popularity of online banking, credit cards, and various third party payment platforms and methods has changed the funding transfer model of traditional transactions.
In the prior art, in the process of network payment, the biometric information of the living body to be detected needs to be compared with the biometric information of all users, so that the comparison workload is particularly large, and the authentication efficiency of the living body to be detected is influenced.
How to improve the authentication efficiency of the living body to be detected becomes a problem to be solved urgently in the current network payment field.
Disclosure of Invention
The application provides an information processing method and device, which are used for improving the authentication efficiency of a living body to be detected.
The information processing method provided by the application comprises the following steps:
emitting a detection signal for detecting a living body target;
if a living body target is detected, target device information of a target device carried by the living body target is detected;
and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected.
Optionally, the sending out a detection signal for detecting a living body target includes:
and sending a detection signal for detecting the living body target to the specified area by using a binocular living body detection camera or a video camera.
Optionally, the information processing method further includes:
receiving feedback information returned by the living body target;
and judging whether the living body target is detected or not according to the feedback information.
Optionally, the feedback information includes a face video;
the judging whether the living body target is detected according to the feedback information comprises the following steps: obtaining the motion characteristics of the human face according to the human face video; and judging whether a living body target is detected or not according to the motion characteristics of the human face.
Optionally, the detecting target device information of the target device carried by the living body target includes:
communicating with target equipment carried by the living body target by using at least one method of a wireless local area network, Bluetooth and radio frequency identification to obtain identification information returned by the target equipment;
and obtaining target equipment information of the target equipment carried by the living body target according to the identification information.
Optionally, the information processing method further includes:
and judging whether the target equipment information is equipment information corresponding to registered target user information or not according to the target equipment information of the target equipment carried by the living body target.
Optionally, the determining, according to the target device information of the target device carried by the living body target, whether the target device information is device information corresponding to registered target user information includes:
searching in a database according to target equipment information of target equipment carried by the living body target to obtain a search result, wherein the database records registration information of a target user;
and judging whether the target equipment information is equipment information corresponding to the registered target user information or not according to the retrieval result.
Optionally, the information processing method further includes:
obtaining biological characteristic information of the living target, wherein the living target is a living target which needs to pass through a detection device currently;
comparing the biological feature information of the living body target with candidate biological feature information in the candidate user information to obtain a comparison result, wherein the candidate biological feature information is the biological feature information of the living body target, which is obtained in advance, and the distance between the candidate biological feature information and the detection equipment does not exceed a distance threshold;
and determining whether the living target is allowed to pass through the detection equipment or not according to the comparison result.
Optionally, the biometric information of the living target includes at least one of the following information:
face feature information of the living body target;
fingerprint characteristic information of the living object;
iris feature information of the living subject;
gait feature information of the living body target;
voiceprint characteristic information of the living body target;
vein feature information of the living object;
three-dimensional characteristic information of the living body target;
biological property information of the living object.
The application provides an information processing apparatus, including:
a detection unit for emitting a detection signal for detecting a living body target;
a detection unit configured to detect target device information of a target device carried by a living body target if the living body target is detected;
and the processing unit is used for taking the registered target user information corresponding to the target device information as candidate user information if the target device information is device information corresponding to the registered target user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for carrying out biological characteristic information comparison with a living body target to be detected.
Optionally, the detection unit is specifically configured to:
and sending a detection signal for detecting the living body target to the specified area by using a binocular living body detection camera or a video camera.
Optionally, the information processing apparatus further includes a determining unit, where the determining unit is configured to:
receiving feedback information returned by the living body target;
and judging whether the living body target is detected or not according to the feedback information.
Optionally, the determining unit is specifically configured to:
the feedback information comprises a face video;
obtaining the motion characteristics of the human face according to the human face video; and judging whether a living body target is detected or not according to the motion characteristics of the human face.
Optionally, the detection unit is specifically configured to:
communicating with target equipment carried by the living body target by using at least one method of a wireless local area network, Bluetooth and radio frequency identification to obtain identification information returned by the target equipment;
and obtaining target equipment information of the target equipment carried by the living body target according to the identification information.
Optionally, the information processing apparatus further includes a first determining unit, where the first determining unit is configured to:
and judging whether the target equipment information is equipment information corresponding to registered target user information or not according to the target equipment information of the target equipment carried by the living body target.
Optionally, the first determining unit is further configured to:
searching in a database according to target equipment information of target equipment carried by the living body target to obtain a search result, wherein the database records registration information of a target user;
and judging whether the target equipment information is equipment information corresponding to the registered target user information or not according to the retrieval result.
Optionally, the information processing apparatus further includes a determining unit, where the determining unit is configured to:
obtaining biological characteristic information of the living target, wherein the living target is a living target which needs to pass through a detection device currently;
comparing the biological feature information of the living body target with candidate biological feature information in the candidate user information to obtain a comparison result, wherein the candidate biological feature information is the biological feature information of the living body target, which is obtained in advance, and the distance between the candidate biological feature information and the detection equipment does not exceed a distance threshold;
and determining whether the living target is allowed to pass through the detection equipment or not according to the comparison result.
Optionally, the biometric information of the living target includes at least one of the following information:
face feature information of the living body target;
fingerprint characteristic information of the living object;
iris feature information of the living subject;
gait feature information of the living body target;
voiceprint characteristic information of the living body target;
vein feature information of the living object;
three-dimensional characteristic information of the living body target;
biological property information of the living object.
The application provides an electronic device, including:
a processor;
and (c) and (d).
A memory for storing a computer program, the apparatus performing the following operations when the computer program is executed by the processor:
emitting a detection signal for detecting a living body target;
if a living body target is detected, target device information of a target device carried by the living body target is detected;
and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected.
A computer storage medium storing a computer program for execution by a processor to perform operations comprising:
emitting a detection signal for detecting a living body target;
if a living body target is detected, target device information of a target device carried by the living body target is detected;
and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected.
And determining whether the living target to be detected is allowed to pass through the detection equipment or not according to the comparison result.
Compared with the prior art, the method has the following advantages:
the information processing method provided by the application is adopted to send out a detection signal for detecting the living body target; if a living body target is detected, target device information of a target device carried by the living body target is detected; and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected. According to the information processing method, after a living body target is detected, target device information of target devices carried by the living body target is detected, and if the target device information is device information corresponding to registered target user information, the registered target user information corresponding to the target device information is used as candidate user information; therefore, the user only needs to compare the biological characteristic information of the living body to be detected with the biological characteristic information of the candidate users, the comparison range of the biological bit characteristic information is narrowed, and the authentication efficiency of the living body to be detected is improved.
Drawings
FIG. 1 is a schematic diagram of an application scenario embodiment of an information processing method provided in the present application;
fig. 2 is a flowchart of an information processing method according to a first embodiment of the present application;
fig. 3 is a flowchart of an application system according to a first embodiment of the present application;
fig. 4 is a schematic diagram of an information processing apparatus according to a second embodiment of the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of implementation in many different ways than those herein set forth and of similar import by those skilled in the art without departing from the spirit of this application and is therefore not limited to the specific implementations disclosed below.
In order to make those skilled in the art better understand the scheme of the present application, a detailed description is first given to a specific application scenario embodiment of the present application.
Fig. 1 is a schematic diagram of a system embodiment of an application scenario of an information processing method provided in the present application. In fig. 1, the system comprises a subway entrance control unit 103, a plurality of subway passengers (from 101-1 to 101-n), each carrying a respective mobile phone (from 102-1 to 102-n), a network 107, and a subway passenger database 108. The operation of the system is explained below.
When the passenger 101-1 passes through the subway entrance a, the living body detection device 104 in the subway entrance control unit sends out a detection signal for detecting a living body target; if the living body detection device 104 detects a living body target, the target device information detection device 105 detects target device information (such as a wireless local area network address of a mobile phone) of a target device (the mobile phone 102-1) carried by the living body target (101-1); after the target device information detection device 105 obtains the target device information, the target device information detection device 105 sends the target device information to the subway passenger database 108 through the network 107 for query, and obtains a query result of the passenger 101-1 returned by the subway passenger database 108; if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected; the subway passenger database 108 may store user information of subway passengers in advance; if the comparison result is matching, the subway entrance guard control device 106 receives the door opening instruction and allows the passenger to enter.
A first embodiment of the present application provides an information processing method, please refer to fig. 2, which is a flowchart of the first embodiment of the present application. An information processing method provided in a first embodiment of the present application is described in detail below with reference to fig. 2. The method comprises the following steps:
step S201: a detection signal for detecting the living body target is emitted.
This step is for emitting a detection signal for detecting a living body target.
The information processing method provided by the embodiment can be used for payment scenes of places such as subway stations, bus stations, shopping malls and the like.
The living object may be a passenger at a subway station or a bus station, or a customer at a mall.
The emitting of the detection signal for detecting the living body target includes:
and sending a detection signal for detecting the living body target to the specified area by using a binocular living body detection camera or a video camera.
For the living body detection, a mode of combining instruction actions can be adopted, for example, an entering person is required to execute instructions of left turning, right turning, mouth opening, blinking and the like of a human face, and if the instruction combination is wrong, forgery and deception are considered.
The living body detection can also use a binocular living body detection camera to obtain the characteristic of skin materials (epidermis layer and dermis layer) based on multispectral technology (covering visible light spectrum and near infrared spectrum) and the characteristics of the specific skin materials of the human face. Under the irradiation of a multispectral light source, the collected real face material and various forged face materials (photos, videos, masks and the like) have obvious difference in the camera. This difference can be quantified by image processing techniques and machine learning methods. By utilizing the deep learning mode, the computer can autonomously judge whether the sample to be detected is a real face, so that the aim of the living body detection without manual supervision is fulfilled.
The information processing method further comprises the following steps:
receiving feedback information returned by the living body target;
and judging whether the living body target is detected or not according to the feedback information.
The feedback information comprises a face video;
the judging whether the living body target is detected according to the feedback information comprises the following steps: obtaining the motion characteristics of the human face according to the human face video; and judging whether a living body target is detected or not according to the motion characteristics of the human face.
The living body detection can also adopt near-infrared human face living body detection, the method determines the motion of each pixel position by using the time domain change and the correlation of pixel intensity data in an image sequence according to an optical flow method, obtains the operation information of each pixel point from the image sequence, and adopts a Gaussian difference filter, Local Binary Pattern (LBP) characteristics and a support vector machine to carry out data statistical analysis.
Step S202: and if the living body target is detected, detecting target device information of a target device carried by the living body target.
This step is for detecting target device information of a target device carried by a living body target if the living body target is detected.
The target device may be a mobile phone or a tablet computer carried by the user, or may be a bluetooth device or a radio frequency tag for authenticating the identity, which is obtained by the user.
The detecting the target device information of the target device carried by the living body target includes:
communicating with target equipment carried by the living body target by using at least one method of a wireless local area network, Bluetooth and radio frequency identification to obtain identification information returned by the target equipment;
and obtaining target equipment information of the target equipment carried by the living body target according to the identification information.
For example, the target device carried by the user is a mobile phone, and the target device communicates with the mobile phone through a wireless local area network, so that a local area network physical Address (MAC) of the mobile phone can be obtained. Each mobile phone has a unique MAC address, so that the information of target equipment such as the model of the mobile phone, a holder of the mobile phone and the like can be obtained by inquiring the MAC address.
Step S203: and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected.
If the target device information is device information corresponding to registered target user information, the registered target user information corresponding to the target device information is used as candidate user information, wherein the registered target user information is user information of biological feature information of a registered user, and the candidate user information is user information used for performing biological feature information comparison with a living body target to be detected.
The information processing method further comprises the following steps:
and judging whether the target equipment information is equipment information corresponding to registered target user information or not according to the target equipment information of the target equipment carried by the living body target.
The determining, according to target device information of a target device carried by the living body target, whether the target device information is device information corresponding to registered target user information includes:
searching in a database according to target equipment information of target equipment carried by the living body target to obtain a search result, wherein the database records registration information of a target user;
and judging whether the target equipment information is equipment information corresponding to the registered target user information or not according to the retrieval result.
For example, for a passenger at a subway station, identity information, bank account information, biometric information, and identification information of a mobile phone (such as a MAC address of the mobile phone) need to be registered in advance through a target device such as a mobile phone, and these pieces of information can be stored in a subway passenger database. The data in the subway passenger database may be all registered passengers in the entire city. Then, searching in the database according to the identification information such as the MAC address of the mobile phone carried by the living body target to obtain a search result; and if the user is searched, judging that the target equipment information is equipment information corresponding to the registered target user information. Otherwise, judging that the target equipment information is not equipment information corresponding to the registered target user information
The biological characteristic information of the living body target comprises at least one of the following information:
face feature information of the living body target;
fingerprint characteristic information of the living object;
iris feature information of the living subject;
gait feature information of the living body target;
voiceprint characteristic information of the living body target;
vein feature information of the living object;
three-dimensional characteristic information of the living body target;
biological property information of the living object.
In which vein feature information of a living object, i.e., vein recognition, is utilized. The vein recognition can obtain a personal vein distribution diagram through a vein recognition instrument, extract a characteristic value from the vein distribution diagram according to a special comparison algorithm, obtain images of veins of fingers, palms and backs of hands through an infrared camera, and store digital images of the veins in a computer system to realize characteristic value storage. When vein is compared, a vein image is adopted in real time, the characteristics of the digital image are extracted by means of filtering, image binarization and thinning, and the matching algorithm is adopted to compare and match with vein characteristic values stored in a host computer, so that the identity of an individual is identified and confirmed.
The three-dimensional characteristic information of the living body target may include information such as a height of the living body target and a weight of the living body target.
The biological attribute information of the living object may include age information of the living object and sex information of the living object. The biological attribute information of the living body target can be acquired by the face feature information of the living body target and the gait feature information of the living body target.
Fig. 3 provides a work flow diagram of an application system using the information processing method provided by the present application. The following describes the workflow of the application system by taking a subway scene as an example.
Step S301: the user is registered on a cell phone, tablet or other active device in advance.
For example, a subway passenger registers with application software on a mobile phone in advance before taking a subway.
Step S302: and storing relevant information such as the MAC address and the Radio Frequency Identification (RFID) label of the registered user equipment into a registered user database.
For example, subway passengers store the MAC address of a cell phone device in a database of registered users. Meanwhile, the subway passenger can also store the biological characteristic information and the bank account information into the registered user database.
Step S303: and powering on and starting the payment system.
For example, a subway management system composed of a detection device at the subway entrance and a registered user database is powered on and started.
Step S304: and judging whether the infrared detector detects a living body.
For example, a camera at the entrance of a subway collects face information of passengers, and determines whether a living body is detected or not based on the face information.
Step S305: and if the infrared detector does not detect the living body, judging whether the manual mode is started or not. If the manual mode is started, step S306 is performed.
Step S306: the WIFI probe detects whether it is a registered user.
For example, a WIFI probe at a subway entrance interacts with a mobile phone carried by a subway passenger to obtain the passenger's MAC address. Whether the passenger is a registered user is judged according to the MAC address of the passenger.
Step S307: the bluetooth gateway/probe probes whether it is a registered user.
In step S306, if it is determined that the passenger is not a registered user based on the MAC address of the passenger, step S307 is executed. For example, the bluetooth gateway/probe is used to obtain the bluetooth identification information of the mobile phone carried by the passenger, and whether the passenger is a registered user is determined according to the bluetooth identification information.
Step S308: the RFID detects whether it is a registered user.
In step S307, if it is determined that the user is not a registered user according to the bluetooth identification information, step S308 is executed. For example, it is determined whether the user is a registered user by using an RFID carried by a passenger.
Step S309: and taking the registered target user information corresponding to the user equipment information as candidate user information.
If any one of the steps S306, S307, and S308 determines that the user is a registered user, step S309 is performed. For example, step S306 is executed, if the WIFI probe detects that the user is a registered user, the registered target user information corresponding to the MAC address of the mobile phone carried by the passenger is used as candidate user information. The registered target user information may include biometric information of the passenger. After the candidate user information is determined, the biological characteristic information of the passenger is collected, and the collected biological characteristic information of the passenger is compared with the biological characteristic information in the candidate user information, so that the passenger identity can be quickly identified. The method adopted by the prior art is to collect the biological characteristic information of the passenger and then compare the collected biological characteristic information of the passenger with the biological characteristic information of a huge number of registered users in a registration database, so that the speed is low and the accuracy is not high enough. By adopting the method provided by the application, the passengers can realize the non-inductive payment without taking out the mobile phone to scan the codes; moreover, the biometric information of the passenger recorded in the database is prepared in advance, so that the comparison speed is improved.
In the above embodiment, an information processing method is provided, and correspondingly, the present application also provides an information processing apparatus. Please refer to fig. 4, which is a schematic diagram of an embodiment of an information processing apparatus according to the present application. Since this embodiment, i.e., the second embodiment, is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The device embodiments described below are merely illustrative.
The embodiment provides an information processing apparatus including:
a detection unit 401 for emitting a detection signal for detecting a living body target;
a detection unit 402 configured to detect target device information of a target device carried by a living body target if the living body target is detected;
a processing unit 403, configured to, if the target device information is device information corresponding to registered target user information, take the registered target user information corresponding to the target device information as candidate user information, where the registered target user information is user information of biological feature information of a registered user, and the candidate user information is user information used for performing biological feature information comparison with a living body target to be detected.
In this embodiment, the detection unit is specifically configured to:
and sending a detection signal for detecting the living body target to the specified area by using a binocular living body detection camera or a video camera.
In this embodiment, the information processing apparatus further includes a determination unit, where the determination unit is configured to:
receiving feedback information returned by the living body target;
and judging whether the living body target is detected or not according to the feedback information.
In this embodiment, the determining unit is specifically configured to:
the feedback information comprises a face video;
obtaining the motion characteristics of the human face according to the human face video; and judging whether a living body target is detected or not according to the motion characteristics of the human face.
In this embodiment, the detection unit is specifically configured to:
communicating with target equipment carried by the living body target by using at least one method of a wireless local area network, Bluetooth and radio frequency identification to obtain identification information returned by the target equipment;
and obtaining target equipment information of the target equipment carried by the living body target according to the identification information.
In this embodiment, the information processing apparatus further includes a first determination unit, where the first determination unit is configured to:
and judging whether the target equipment information is equipment information corresponding to registered target user information or not according to the target equipment information of the target equipment carried by the living body target.
In this embodiment, the first determining unit is further configured to:
searching in a database according to target equipment information of target equipment carried by the living body target to obtain a search result, wherein the database records registration information of a target user;
and judging whether the target equipment information is equipment information corresponding to the registered target user information or not according to the retrieval result.
In this embodiment, the information processing apparatus further includes a determining unit, where the determining unit is configured to:
obtaining biological characteristic information of the living target, wherein the living target is a living target which needs to pass through a detection device currently;
comparing the biological feature information of the living body target with candidate biological feature information in the candidate user information to obtain a comparison result, wherein the candidate biological feature information is the biological feature information of the living body target, which is obtained in advance, and the distance between the candidate biological feature information and the detection equipment does not exceed a distance threshold;
and determining whether the living target is allowed to pass through the detection equipment or not according to the comparison result.
In this embodiment, the biometric information of the living body target is at least one of the following information:
face feature information of the living body target;
fingerprint characteristic information of the living object;
iris feature information of the living subject;
gait feature information of the living body target;
voiceprint characteristic information of the living body target;
vein feature information of the living object;
three-dimensional characteristic information of the living body target;
biological property information of the living object.
A third embodiment of the present application provides an electronic device, including:
a processor;
and (c) and (d).
A memory for storing a computer program, the apparatus performing the following operations when the computer program is executed by the processor:
emitting a detection signal for detecting a living body target;
if a living body target is detected, target device information of a target device carried by the living body target is detected;
and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected.
A fourth embodiment of the present application provides a computer storage medium storing a computer program, which is executed by a processor to perform the following operations:
emitting a detection signal for detecting a living body target;
if a living body target is detected, target device information of a target device carried by the living body target is detected;
and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected.
Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application, therefore, the scope of the present application should be determined by the claims that follow.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
1. Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
2. As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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.
Claims (10)
1. An information processing method characterized by comprising:
emitting a detection signal for detecting a living body target;
if a living body target is detected, target device information of a target device carried by the living body target is detected;
and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected.
2. The information processing method according to claim 1, wherein the issuing of the detection signal for detecting the living body target includes:
and sending a detection signal for detecting the living body target to the specified area by using a binocular living body detection camera or a video camera.
3. The information processing method according to claim 1, further comprising:
receiving feedback information returned by the living body target;
and judging whether the living body target is detected or not according to the feedback information.
4. The information processing method according to claim 3, wherein the feedback information includes a face video;
the judging whether the living body target is detected according to the feedback information comprises the following steps: obtaining the motion characteristics of the human face according to the human face video; and judging whether a living body target is detected or not according to the motion characteristics of the human face.
5. An information processing apparatus characterized by comprising:
a detection unit for emitting a detection signal for detecting a living body target;
a detection unit configured to detect target device information of a target device carried by a living body target if the living body target is detected;
and the processing unit is used for taking the registered target user information corresponding to the target device information as candidate user information if the target device information is device information corresponding to the registered target user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for carrying out biological characteristic information comparison with a living body target to be detected.
6. The information processing apparatus according to claim 5, wherein the detection unit is specifically configured to:
and sending a detection signal for detecting the living body target to the specified area by using a binocular living body detection camera or a video camera.
7. The information processing apparatus according to claim 5, further comprising a judgment unit configured to:
receiving feedback information returned by the living body target;
and judging whether the living body target is detected or not according to the feedback information.
8. The information processing apparatus according to claim 7, wherein the determination unit is specifically configured to:
the feedback information comprises a face video;
obtaining the motion characteristics of the human face according to the human face video; and judging whether a living body target is detected or not according to the motion characteristics of the human face.
9. An electronic device, comprising:
a processor;
and (c) and (d).
A memory for storing a computer program, the apparatus performing the following operations when the computer program is executed by the processor:
emitting a detection signal for detecting a living body target;
if a living body target is detected, target device information of a target device carried by the living body target is detected;
and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected.
10. A computer storage medium, characterized in that the computer storage medium stores a computer program that is executed by a processor to perform the operations of:
emitting a detection signal for detecting a living body target;
if a living body target is detected, target device information of a target device carried by the living body target is detected;
and if the target device information is device information corresponding to registered target user information, using the registered target user information corresponding to the target device information as candidate user information, wherein the registered target user information is user information of biological characteristic information of a registered user, and the candidate user information is user information used for performing biological characteristic information comparison with a living body target to be detected.
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