CN111695509A - Identity authentication method, identity authentication device, machine readable medium and equipment - Google Patents
Identity authentication method, identity authentication device, machine readable medium and equipment Download PDFInfo
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- CN111695509A CN111695509A CN202010535579.7A CN202010535579A CN111695509A CN 111695509 A CN111695509 A CN 111695509A CN 202010535579 A CN202010535579 A CN 202010535579A CN 111695509 A CN111695509 A CN 111695509A
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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
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/143—Sensing or illuminating at different wavelengths
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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
- G06V40/45—Detection of the body part being alive
Abstract
The invention provides an identity authentication method, which comprises the following steps: obtaining a detection result of biological detection on a detection target; the biological detection comprises living body detection, temperature detection and human face/human body detection; and verifying the identity of the detection target according to the detection result. The invention uses non-inductive living body detection, non-inductive body temperature measurement and non-inductive face verification to carry out multiple non-inductive anti-counterfeiting authentication on the user, so that the safety of face identification is greatly improved.
Description
Technical Field
The invention belongs to the field of identity authentication, and particularly relates to an identity authentication method, an identity authentication device, a machine readable medium and equipment.
Background
At present, the face recognition technology is widely applied, for example, scenes such as various security channels, financial payment and the like are adopted, so that the convenience of work and life of people is greatly improved, but the safety of people is greatly challenged in the using process; in addition, the current world is threatened by various infectious diseases, and how to identify symptomatic infectors in the first time and reduce the infection risk of related workers to the maximum degree also becomes a difficulty.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, it is an object of the present invention to provide an authentication method, apparatus, machine-readable medium and device, which are used to solve the problems of the prior art.
To achieve the above and other related objects, the present invention provides an authentication method, comprising:
obtaining a detection result of biological detection on a detection target; the biological detection comprises living body detection, temperature detection and human face/human body detection;
and verifying the identity of the detection target according to the detection result.
Optionally, when the detection result satisfies one of the following conditions, the identity of the detection target is illegal;
the detection result of the living body detection of the detection target is that the living body is not detected;
detecting the temperature of the detection target as the detection result that the detection temperature exceeds a temperature threshold;
and the detection result of the human face/human body detection on the detection target is that the detection target is not a registered person.
Optionally, the detecting the temperature of the detection target includes:
acquiring various types of images of a detection target;
determining a target detection area of the detection target based on the plurality of types of images;
and acquiring the temperature of the target detection area.
Optionally, the multiple types of images include visible light images, infrared thermal images.
Optionally, the determining a target detection area of the detection target based on the multiple types of images includes:
detecting a target part of the visible light image to obtain a target part position;
a target detection area of the target site location in an infrared thermal image of a detection target is determined.
To achieve the above and other related objects, the present invention provides an authentication device, comprising:
the detection result acquisition module is used for acquiring a detection result of biological detection on the detection target; the biological detection comprises living body detection, temperature detection and human face/human body detection;
and the identity authentication module is used for authenticating the identity of the detection target according to the detection result.
Optionally, when the detection result satisfies one of the following conditions, the identity of the detection target is illegal;
the detection result of the living body detection of the detection target is that the living body is not detected;
detecting the temperature of the detection target as the detection result that the detection temperature exceeds a temperature threshold;
and the detection result of the human face/human body detection on the detection target is that the detection target is not a registered person.
Optionally, the detecting the temperature of the detection target includes:
acquiring various types of images of a detection target;
determining a target detection area of the detection target based on the plurality of types of images;
and acquiring the temperature of the target detection area.
Optionally, the multiple types of images include visible light images, infrared thermal images.
Optionally, the determining a target detection area of the detection target based on the multiple types of images includes:
detecting a target part of the visible light image to obtain a target part position;
a target detection area of the target site location in an infrared thermal image of a detection target is determined.
To achieve the above and other related objects, the present invention provides an apparatus comprising:
one or more processors; and
one or more machine-readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform one or more of the methods described previously.
To achieve the foregoing and other related objectives, the present invention provides one or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform one or more of the methods described above.
As described above, the identity authentication method, apparatus, machine-readable medium and device provided by the present invention have the following advantages:
the invention provides an identity authentication method, which comprises the following steps: obtaining a detection result of biological detection on a detection target; the biological detection comprises living body detection, temperature detection and human face/human body detection; and verifying the identity of the detection target according to the detection result. The invention uses non-inductive living body detection, non-inductive body temperature measurement and non-inductive face verification to carry out multiple non-inductive anti-counterfeiting authentication on the user, so that the safety of face identification is greatly improved.
Drawings
Fig. 1 is a flowchart of an authentication method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an authentication apparatus according to an embodiment of the present invention;
fig. 3 is a schematic hardware structure diagram of a terminal device according to an embodiment;
fig. 4 is a schematic diagram of a hardware structure of a terminal device according to another embodiment.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
As shown in fig. 1, the present embodiment provides an identity authentication method, including:
s11, obtaining the detection result of biological detection of the detection target; the biological detection comprises living body detection, temperature detection and human face/human body detection;
s12, the identity of the detection target is verified according to the detection result.
The invention uses non-inductive living body detection, non-inductive body temperature measurement and non-inductive face verification to carry out multiple non-inductive anti-counterfeiting authentication on the user, so that the safety of face identification is greatly improved.
In one embodiment, the identity of the detection target is illegal when the detection result satisfies one of the following conditions;
the detection result of the living body detection of the detection target is that the living body is not detected;
detecting the temperature of the detection target as the detection result that the detection temperature exceeds a temperature threshold;
and the detection result of the human face/human body detection on the detection target is that the detection target is not a registered person.
The living body detection is a method for determining the real physiological characteristics of a subject in some identity verification scenes. Whether the user is a real living body can be verified by combining actions of blinking, mouth opening, shaking, head nodding and the like and by using technologies of face key point positioning, face tracking and the like.
Wherein the temperature detection of the detection target includes: acquiring various types of images of a detection target; determining a target detection area of the detection target based on the plurality of types of images; and acquiring the temperature of the target detection area.
In this embodiment, the plurality of types of images may include: visible light images, infrared thermal images. The visible light image can be acquired by a visible light image acquisition sensor, such as a common RGB image sensor; the infrared thermal image may be acquired by an infrared thermal imaging image sensor. Of course, in another embodiment, at least two images of the two images may be acquired by one device, for example, an infrared temperature probe that can acquire both visible light images and infrared thermal images.
In this embodiment, the determining a target detection area of the detection target based on the plurality of types of images includes:
detecting a target part of the visible light image to obtain a target part position; a target detection area of the target site location in an infrared thermal image of a detection target is determined.
After the target detection area is determined, the temperature of the target detection area where the target is detected can be acquired.
In this embodiment, the target portion includes a face, a forehead, a back of hand, a neck, and a shoulder, and the target detection region includes a face region, a forehead region, a back of hand region, a neck region, and a shoulder region.
When the detected temperature exceeds the temperature threshold, the identity of the detected target is not legitimate.
Taking the temperature threshold of 37.3 ℃ as an example, when the temperature of the target detection area, namely the human face area, exceeds 37.3 ℃, the identity of the detected target can be considered as an illegal identity, and an alarm prompt is sent out. In this embodiment, the value of the preset threshold may be set as needed. The alarm can be given by various modes, such as sound and light indication alarm or voice alarm.
The infrared thermal image or the laser image is displayed by a striking color on a screen, the alarm level can be set, different alarm levels can be displayed by different colors, and different alarm signals can be sent by different alarm levels. For example, the alarm level is low, only sound and light alarm, alarm and the like can be given, the voice alarm can be given with higher level, the alarm level is high, and sound and light alarm and voice alarm can be given at the same time.
It will be appreciated that since infrared detection is an ongoing process, detection may be performed continuously over a period of time to obtain a plurality of infrared thermal images. Therefore, when detecting the temperature of the face area, it is necessary to obtain images at the same time, that is, an infrared thermal image at the current time and a visible light image at the current time. In the process of determining the face area, firstly, the face detection is carried out on the visible light image at the current moment to obtain the position of the face, and then the face position in the visible light image at the current moment is mapped to the infrared thermal image of the detection target at the current moment to obtain the face area of the detection target in the infrared thermal image at the current moment.
After the face area is determined, the face area in the infrared thermal image at the current moment can be measured to obtain the temperature of the face area.
It can be understood that the image of the face area is an infrared thermal image, the corresponding relationship between the color and the temperature can be obtained in advance, and the temperature corresponding to the color in the face area is determined according to the corresponding relationship between the color and the temperature, so that the temperature of the face area can be determined.
In one embodiment, it is determined whether the detection target is a person in the registry through face/body detection. Specifically, the face detection includes: and performing key point detection, quality evaluation, face alignment and face feature extraction on a face region in the visible light image, then comparing and verifying the face region with the face features of the registry, if the similarity between a face picture of the detection target and the face picture in the registry exceeds a similarity threshold, determining that the detection target exists in the face library, and calculating the similarity through Euclidean distance and cosine distance. In the specific implementation process, the face features of the tested face picture are compared with the face features of the registered face pictures prestored in the face library one by one, and the similarity between the tested face picture and the registered face picture is judged. The human face features comprise the features of eyes, eyebrows, nose, mouth and the like, and the human face feature extraction algorithm comprises a Pictorial, Structure and Top-Down algorithm.
And when the similarity between the face picture of the detection target and the face picture in the registry exceeds a similarity threshold value, sending an alarm prompt. The similarity threshold may be 0.9, that is, when the similarity between the test face picture and the registered face picture exceeds 0.9, it is determined that the face image exists in the face library. In this embodiment, the similarity threshold may be changed, for example, to 0.85, 0.9, or 0.95, and different similarity thresholds may be selected according to needs. The human body detection comprises fingerprint detection, iris detection, voiceprint detection, palmprint detection, vein detection and the like.
After receiving the visible light image and the thermal infrared image, the invention firstly carries out image preprocessing on the visible light image, then carries out face detection to find a face area, finds a corresponding face area in the thermal infrared image through the face area, then carries out living body detection and temperature measurement, and the results of the living body detection and the temperature measurement are used for double anti-counterfeiting and judging whether the heating condition occurs. After the living body detection and the temperature measurement are carried out, key point detection, quality evaluation, face alignment and face feature extraction are carried out on a face area of visible light, then comparison verification is carried out on the face area and face features of a registry, the verification can be finally passed only under the condition that the living body detection result is a living body, the temperature value is within the temperature threshold range and the face/human body comparison verification is passed, one condition is not met, the alarm is given through a loudspeaker, and an alarm prompt is sent out.
As shown in fig. 2, the present embodiment provides an authentication apparatus, including:
a detection result acquisition module 21 configured to acquire a detection result of performing biological detection on a detection target; the biological detection comprises living body detection, temperature detection and human face/human body detection;
and the identity authentication module 22 is configured to authenticate the identity of the detection target according to the detection result.
The invention uses non-inductive living body detection, non-inductive body temperature measurement and non-inductive face verification to carry out multiple non-inductive anti-counterfeiting authentication on the user, so that the safety of face identification is greatly improved.
In one embodiment, the identity of the detection target is illegal when the detection result satisfies one of the following conditions;
the detection result of the living body detection of the detection target is that the living body is not detected;
detecting the temperature of the detection target as the detection result that the detection temperature exceeds a temperature threshold;
and the detection result of the human face/human body detection on the detection target is that the detection target is not a registered person.
The living body detection is a method for determining the real physiological characteristics of a subject in some identity verification scenes. Whether the user is a real living body can be verified by combining actions of blinking, mouth opening, shaking, head nodding and the like and by using technologies of face key point positioning, face tracking and the like.
Wherein the temperature detection of the detection target includes: acquiring various types of images of a detection target; determining a target detection area of the detection target based on the plurality of types of images; and acquiring the temperature of the target detection area.
In this embodiment, the plurality of types of images may include: visible light images, infrared thermal images. The visible light image can be acquired by a visible light image acquisition sensor, such as a common RGB image sensor; the infrared thermal image may be acquired by an infrared thermal imaging image sensor. Of course, in another embodiment, at least two images of the two images may be acquired by one device, for example, an infrared temperature probe that can acquire both visible light images and infrared thermal images.
In this embodiment, the determining a target detection area of the detection target based on the plurality of types of images includes:
detecting a target part of the visible light image to obtain a target part position; a target detection area of the target site location in an infrared thermal image of a detection target is determined.
After the target detection area is determined, the temperature of the target detection area where the target is detected can be acquired.
In this embodiment, the target portion includes a face, a forehead, a back of hand, a neck, and a shoulder, and the target detection region includes a face region, a forehead region, a back of hand region, a neck region, and a shoulder region.
When the detected temperature exceeds the temperature threshold, the identity of the detected target is not legitimate.
Taking the temperature threshold of 37.3 ℃ as an example, when the temperature of the target detection area, namely the human face area, exceeds 37.3 ℃, the identity of the detected target can be considered as an illegal identity, and an alarm prompt is sent out. In this embodiment, the value of the preset threshold may be set as needed. The alarm can be given by various modes, such as sound and light indication alarm or voice alarm.
The infrared thermal image or the laser image is displayed by a striking color on a screen, the alarm level can be set, different alarm levels can be displayed by different colors, and different alarm signals can be sent by different alarm levels. For example, the alarm level is low, only sound and light alarm, alarm and the like can be given, the voice alarm can be given with higher level, the alarm level is high, and sound and light alarm and voice alarm can be given at the same time.
It will be appreciated that since infrared detection is an ongoing process, detection may be performed continuously over a period of time to obtain a plurality of infrared thermal images. Therefore, when detecting the temperature of the face area, it is necessary to obtain images at the same time, that is, an infrared thermal image at the current time and a visible light image at the current time. In the process of determining the face area, firstly, the face detection is carried out on the visible light image at the current moment to obtain the position of the face, and then the face position in the visible light image at the current moment is mapped to the infrared thermal image of the detection target at the current moment to obtain the face area of the detection target in the infrared thermal image at the current moment.
After the face area is determined, the face area in the infrared thermal image at the current moment can be measured to obtain the temperature of the face area.
It can be understood that the image of the face area is an infrared thermal image, the corresponding relationship between the color and the temperature can be obtained in advance, and the temperature corresponding to the color in the face area is determined according to the corresponding relationship between the color and the temperature, so that the temperature of the face area can be determined.
In one embodiment, it is determined whether the detection target is a person in the registry through face/body detection. Specifically, the face detection includes: and performing key point detection, quality evaluation, face alignment and face feature extraction on a face region in the visible light image, then comparing and verifying the face region with the face features of the registry, if the similarity between a face picture of the detection target and the face picture in the registry exceeds a similarity threshold, determining that the detection target exists in the face library, and calculating the similarity through Euclidean distance and cosine distance. In the specific implementation process, the face features of the tested face picture are compared with the face features of the registered face pictures prestored in the face library one by one, and the similarity between the tested face picture and the registered face picture is judged. The human face features comprise the features of eyes, eyebrows, nose, mouth and the like, and the human face feature extraction algorithm comprises a Pictorial, Structure and Top-Down algorithm.
And when the similarity between the face picture of the detection target and the face picture in the registry exceeds a similarity threshold value, sending an alarm prompt. The similarity threshold may be 0.9, that is, when the similarity between the test face picture and the registered face picture exceeds 0.9, it is determined that the face image exists in the face library. In this embodiment, the similarity threshold may be changed, for example, to 0.85, 0.9, or 0.95, and different similarity thresholds may be selected according to needs. The human body detection comprises fingerprint detection, iris detection, voiceprint detection, palmprint detection, vein detection and the like.
After receiving the visible light image and the thermal infrared image, the invention firstly carries out image preprocessing on the visible light image, then carries out face detection to find a face area, finds a corresponding face area in the thermal infrared image through the face area, then carries out living body detection and temperature measurement, and the results of the living body detection and the temperature measurement are used for double anti-counterfeiting and judging whether the heating condition occurs. After the living body detection and the temperature measurement are carried out, key point detection, quality evaluation, face alignment and face feature extraction are carried out on a face area of visible light, then comparison verification is carried out on the face area and face features of a registry, the verification can be finally passed only under the condition that the living body detection result is a living body, the temperature value is within the temperature threshold range and the face/human body comparison verification is passed, one condition is not met, the alarm is given through a loudspeaker, and an alarm prompt is sent out.
An embodiment of the present application further provides an apparatus, which may include: one or more processors; and one or more machine readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform the method of fig. 1. In practical applications, the device may be used as a terminal device, and may also be used as a server, where examples of the terminal device may include: the mobile terminal includes a smart phone, a tablet computer, an electronic book reader, an MP3 (Moving Picture Experts Group Audio Layer III) player, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a laptop, a vehicle-mounted computer, a desktop computer, a set-top box, an intelligent television, a wearable device, and the like.
The present application further provides a non-transitory readable storage medium, where one or more modules (programs) are stored in the storage medium, and when the one or more modules are applied to a device, the device may be caused to execute instructions (instructions) of steps included in the method in fig. 1 according to the present application.
Fig. 3 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present application. As shown, the terminal device may include: an input device 1100, a first processor 1101, an output device 1102, a first memory 1103, and at least one communication bus 1104. The communication bus 1104 is used to implement communication connections between the elements. The first memory 1103 may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory, and the first memory 1103 may store various programs for performing various processing functions and implementing the method steps of the present embodiment.
Alternatively, the first processor 1101 may be, for example, a Central Processing Unit (CPU), 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 controller, a microcontroller, a microprocessor, or other electronic components, and the first processor 1101 is coupled to the input device 1100 and the output device 1102 through a wired or wireless connection.
Optionally, the input device 1100 may include a variety of input devices, such as at least one of a user-oriented user interface, a device-oriented device interface, a software programmable interface, a camera, and a sensor. Optionally, the device interface facing the device may be a wired interface for data transmission between devices, or may be a hardware plug-in interface (e.g., a USB interface, a serial port, etc.) for data transmission between devices; optionally, the user-facing user interface may be, for example, a user-facing control key, a voice input device for receiving voice input, and a touch sensing device (e.g., a touch screen with a touch sensing function, a touch pad, etc.) for receiving user touch input; optionally, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, such as an input pin interface or an input interface of a chip; the output devices 1102 may include output devices such as a display, audio, and the like.
In this embodiment, the processor of the terminal device includes a module for executing functions of each module in each device, and specific functions and technical effects may refer to the foregoing embodiments, which are not described herein again.
Fig. 4 is a schematic hardware structure diagram of a terminal device according to an embodiment of the present application. Fig. 4 is a specific embodiment of fig. 3 in an implementation process. As shown, the terminal device of the present embodiment may include a second processor 1201 and a second memory 1202.
The second processor 1201 executes the computer program code stored in the second memory 1202 to implement the method described in fig. 1 in the above embodiment.
The second memory 1202 is configured to store various types of data to support operations at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, pictures, videos, and so forth. The second memory 1202 may include a Random Access Memory (RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
Optionally, a second processor 1201 is provided in the processing assembly 1200. The terminal device may further include: communication component 1203, power component 1204, multimedia component 1205, speech component 1206, input/output interfaces 1207, and/or sensor component 1208. The specific components included in the terminal device are set according to actual requirements, which is not limited in this embodiment.
The processing component 1200 generally controls the overall operation of the terminal device. The processing assembly 1200 may include one or more second processors 1201 to execute instructions to perform all or part of the steps of the data processing method described above. Further, the processing component 1200 can include one or more modules that facilitate interaction between the processing component 1200 and other components. For example, the processing component 1200 can include a multimedia module to facilitate interaction between the multimedia component 1205 and the processing component 1200.
The power supply component 1204 provides power to the various components of the terminal device. The power components 1204 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the terminal device.
The multimedia components 1205 include a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
The voice component 1206 is configured to output and/or input voice signals. For example, the voice component 1206 includes a Microphone (MIC) configured to receive external voice signals when the terminal device is in an operational mode, such as a voice recognition mode. The received speech signal may further be stored in the second memory 1202 or transmitted via the communication component 1203. In some embodiments, the speech component 1206 further comprises a speaker for outputting speech signals.
The input/output interface 1207 provides an interface between the processing component 1200 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include, but are not limited to: a volume button, a start button, and a lock button.
The sensor component 1208 includes one or more sensors for providing various aspects of status assessment for the terminal device. For example, the sensor component 1208 may detect an open/closed state of the terminal device, relative positioning of the components, presence or absence of user contact with the terminal device. The sensor assembly 1208 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 1208 may also include a camera or the like.
The communication component 1203 is configured to facilitate communications between the terminal device and other devices in a wired or wireless manner. The terminal device may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot therein for inserting a SIM card therein, so that the terminal device may log onto a GPRS network to establish communication with the server via the internet.
As can be seen from the above, the communication component 1203, the voice component 1206, the input/output interface 1207 and the sensor component 1208 referred to in the embodiment of fig. 4 can be implemented as the input device in the embodiment of fig. 3.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (12)
1. An identity verification method, comprising:
obtaining a detection result of biological detection on a detection target; the biological detection comprises living body detection, temperature detection and human face/human body detection;
and verifying the identity of the detection target according to the detection result.
2. The identity verification method according to claim 1, wherein the identity of the detection target is illegal when the detection result satisfies one of the following conditions;
the detection result of the living body detection of the detection target is that the living body is not detected;
detecting the temperature of the detection target as the detection result that the detection temperature exceeds a temperature threshold;
and the detection result of the human face/human body detection on the detection target is that the detection target is not a registered person.
3. The identity verification method of claim 1, wherein performing temperature detection on the detection target comprises:
acquiring various types of images of a detection target;
determining a target detection area of the detection target based on the plurality of types of images;
and acquiring the temperature of the target detection area.
4. A method of identity verification according to claim 3 wherein the plurality of types of images comprise visible light images, infrared thermal images.
5. The identity verification method according to claim 4, wherein the determining a target detection area of the detection target based on the plurality of types of images includes:
detecting a target part of the visible light image to obtain a target part position;
a target detection area of the target site location in an infrared thermal image of a detection target is determined.
6. An authentication apparatus, comprising:
the detection result acquisition module is used for acquiring a detection result of biological detection on the detection target; the biological detection comprises living body detection, temperature detection and human face/human body detection;
and the identity authentication module is used for authenticating the identity of the detection target according to the detection result.
7. The authentication apparatus according to claim 6, wherein the identity of the detection target is illegal when the detection result satisfies one of the following conditions;
the detection result of the living body detection of the detection target is that the living body is not detected;
detecting the temperature of the detection target as the detection result that the detection temperature exceeds a temperature threshold;
and the detection result of the human face/human body detection on the detection target is that the detection target is not a registered person.
8. The identity authentication device of claim 6, wherein the temperature detection of the detection target comprises:
acquiring various types of images of a detection target;
determining a target detection area of the detection target based on the plurality of types of images;
and acquiring the temperature of the target detection area.
9. The authentication device of claim 8 wherein the plurality of types of images comprise visible light images, infrared thermal images.
10. The identity authentication device according to claim 9, wherein the determining of the target detection area of the detection target based on the plurality of types of images includes:
detecting a target part of the visible light image to obtain a target part position;
a target detection area of the target site location in an infrared thermal image of a detection target is determined.
11. An apparatus, comprising:
one or more processors; and
one or more machine-readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform the method of one or more of claims 1-5.
12. One or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform one or more of the methods recited in claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112132046A (en) * | 2020-09-24 | 2020-12-25 | 天津锋物科技有限公司 | Static living body detection method and system |
| CN112907810A (en) * | 2021-04-02 | 2021-06-04 | 吉林大学 | Face recognition temperature measurement campus access control system based on embedded GPU |
| CN113486704A (en) * | 2021-05-18 | 2021-10-08 | 贵州正航众联电力建设有限公司 | Power distribution room operator identity verification system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102622588A (en) * | 2012-03-08 | 2012-08-01 | 无锡数字奥森科技有限公司 | Dual-certification face anti-counterfeit method and device |
| CN105912908A (en) * | 2016-04-14 | 2016-08-31 | 苏州优化智能科技有限公司 | Infrared-based real person living body identity verification method |
| CN108596061A (en) * | 2018-04-12 | 2018-09-28 | Oppo广东移动通信有限公司 | Face identification method, device and mobile terminal, storage medium |
| CN111202504A (en) * | 2020-02-12 | 2020-05-29 | 上海云从汇临人工智能科技有限公司 | Abnormal object management method, system, machine readable medium and equipment |
| CN111259872A (en) * | 2020-03-31 | 2020-06-09 | 桂林电子科技大学 | Novel human-certificate-integrated influenza prevention and control detection device and method |
-
2020
- 2020-06-12 CN CN202010535579.7A patent/CN111695509A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102622588A (en) * | 2012-03-08 | 2012-08-01 | 无锡数字奥森科技有限公司 | Dual-certification face anti-counterfeit method and device |
| CN105912908A (en) * | 2016-04-14 | 2016-08-31 | 苏州优化智能科技有限公司 | Infrared-based real person living body identity verification method |
| CN108596061A (en) * | 2018-04-12 | 2018-09-28 | Oppo广东移动通信有限公司 | Face identification method, device and mobile terminal, storage medium |
| CN111202504A (en) * | 2020-02-12 | 2020-05-29 | 上海云从汇临人工智能科技有限公司 | Abnormal object management method, system, machine readable medium and equipment |
| CN111259872A (en) * | 2020-03-31 | 2020-06-09 | 桂林电子科技大学 | Novel human-certificate-integrated influenza prevention and control detection device and method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112132046A (en) * | 2020-09-24 | 2020-12-25 | 天津锋物科技有限公司 | Static living body detection method and system |
| CN112907810A (en) * | 2021-04-02 | 2021-06-04 | 吉林大学 | Face recognition temperature measurement campus access control system based on embedded GPU |
| CN113486704A (en) * | 2021-05-18 | 2021-10-08 | 贵州正航众联电力建设有限公司 | Power distribution room operator identity verification system |
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Application publication date: 20200922 |