CN112905972A - Anti-cracking system for living body identification - Google Patents
Anti-cracking system for living body identification Download PDFInfo
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- CN112905972A CN112905972A CN201911225659.6A CN201911225659A CN112905972A CN 112905972 A CN112905972 A CN 112905972A CN 201911225659 A CN201911225659 A CN 201911225659A CN 112905972 A CN112905972 A CN 112905972A
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- living body
- difference value
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- value
- brightness difference
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- 238000005336 cracking Methods 0.000 title description 5
- 230000004313 glare Effects 0.000 claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 8
- 238000003860 storage Methods 0.000 claims abstract description 8
- 230000008569 process Effects 0.000 claims abstract description 7
- 230000001678 irradiating effect Effects 0.000 claims abstract description 5
- 238000004364 calculation method Methods 0.000 claims abstract description 4
- 238000009826 distribution Methods 0.000 claims description 8
- 230000002093 peripheral effect Effects 0.000 claims description 3
- 238000003825 pressing Methods 0.000 claims description 2
- 238000012935 Averaging Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 1
- 230000004438 eyesight Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000001727 in vivo Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
Images
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/71—Circuitry for evaluating the brightness variation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
Abstract
The invention provides a cracking-proof system for living body identification, which comprises: the image acquisition device is used for acquiring identification parameter data of a living body and comprises a camera, and the camera carries out continuous and rapid shooting; the lamps are arranged at the periphery of the camera and used for irradiating a measured object, and the lamps are alternately turned on and off along with continuous and rapid shooting in the shooting process of the camera; a storage unit for storing captured image data; a processing unit for processing the image data acquired by the image acquisition device and stored in the storage unit, wherein further comprising: the calculation module is used for calculating and comparing the brightness values of the two selected adjacent shot images to obtain the brightness difference value of the two images; the judging module is used for comparing the brightness difference value with a preset threshold value, judging whether the brightness difference value is larger than the preset threshold value or not, and if the brightness difference value is larger than the preset threshold value, judging that the brightness difference value is reflected by a screen and generates glare; if the value is equal to or less than the predetermined value, it is determined that the object is a living body.
Description
Technical Field
The invention relates to the technical field of identification, in particular to an anti-cracking system for living body identification.
Background
With the continuous development of science and technology, particularly the development of computer vision technology, the human body identification technology is widely applied to various fields of information security, electronic authentication and the like, and the image feature extraction method has good identification performance. In particular, with the development of living body identification technology, it is widely used in authentication occasions such as financial account opening and real-name authentication. The security requirements of these application scenarios are very high.
At present, in normal living body identification, a person needs to stand in front of a lens and perform some actions according to prompts or recite some numbers, and a server can judge whether the person completes the actions according to instructions to detect whether a detected object is a living body. For example, when a mobile phone card is activated, as shown in fig. 1, when a person is in front of a camera, the person is prompted to recite a string of random numbers, and if the recognized face is matched with an identification card, and the reciting numbers are also matched, the person is considered to be in operation. It is currently believed that living body identification is also highly secure and meets the security requirements of these application scenarios.
However, with the popularization of applications, the transparency of the technology, and the development of hacker technologies, some cracking means gradually exist, and therefore, prevention is required.
Now the hacker can make up such a process as desired, as shown in fig. 2, he will use a display screen to put in front of the camera and then play a video of the character, which can be edited dynamically, for example, to make a shake head, blink effect is not difficult, but we can also play the random number according to the system prompt. Therefore, the hacker can simulate the effect of the personal operation in this way and cheat the identification program.
Disclosure of Invention
In order to solve the problems in the prior art, it is critical to detect that a screen is shot instead of a real person in order to make up for the security holes. The invention aims to: the invention provides an anti-cracking system which prevents a user from using remote control, video recording and other modes to carry out living body identification.
Specifically, the present invention provides a tamper-proof system for living body identification, including:
the image acquisition device is used for acquiring identification parameter data of a living body, and comprises a camera which carries out continuous and rapid shooting;
the lamps are arranged at the peripheral positions of the cameras and used for irradiating a measured object, and the lamps are alternately turned on and off along with continuous and rapid shooting in the shooting process of the cameras;
a storage unit for storing captured image data;
a processing unit for processing the image data acquired by the image acquisition device and stored in the storage unit, wherein further comprising:
the calculation module is used for calculating and comparing the brightness values of the two selected adjacent shot images to obtain the brightness difference value of the two images;
the judging module is used for comparing the brightness difference value with a preset threshold value, judging whether the brightness difference value is larger than the preset threshold value or not, and if the brightness difference value is larger than the preset threshold value, judging that the brightness difference value is reflected by a screen and generates glare; if the value is equal to or less than the predetermined value, it is determined that the object is a living body.
The application has the advantages that: by utilizing the existing identification system, whether glare is generated or not is judged by installing additional lamps and/or controlling the irradiation of lamplight, and whether the object to be detected is a living body or not is identified, so that the camouflage of a hacker is effectively prevented, the system safety is improved, and the method is simple and low in cost.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention.
FIG. 1 is a schematic representation of prior art in vivo identification of the present invention.
Fig. 2 is a schematic diagram of a problem in the prior art of the present invention.
Fig. 3 is a schematic diagram of glare formed after a camera is imaged by irradiating the lamp to a screen according to the invention.
Fig. 4 is a schematic view of a real person according to the present invention being unable to form glare in front of a camera.
Fig. 5 is a block diagram schematic of a system to which the present invention relates.
Detailed Description
The application relates to specific embodiments comprising:
as shown in fig. 3, a lamp is mounted on the camera, and reflects light when the lamp irradiates the screen, and then the camera forms an image to form glare.
As shown in fig. 4, if a real person is in front of the camera, the light is emitted and scattered by the human face, and glare cannot be formed, so that the human face is still clear after imaging.
And (4) carrying out glare recognition through an image processing algorithm, and if the glare is recognized, considering the opposite side as a screen, and if the glare is not recognized, considering the opposite side as a real person.
With respect to the glare recognition algorithm, there are many ways, and only one way of recognition is illustrated here. The invention includes in application and not limited to such glare recognition algorithms.
The glare recognition algorithm states, for example, that first, the camera takes continuous fast shots, and lights are turned on alternately during the shooting. Then we take two adjacent photos to compare, i.e. one is lighted and one is not lighted. Finally, by comparing the brightness of the two photos, if the brightness difference is large, the opposite side is considered to be reflected by the screen, and glare is generated; if the brightness difference is not large, the other party is considered as a real person.
As shown in fig. 5, a tamper-proof system for living body identification includes:
the image acquisition device is used for acquiring identification parameter data of a living body, and comprises a camera which carries out continuous and rapid shooting;
the lamps are arranged at the peripheral positions of the cameras and used for irradiating a measured object, and the lamps are alternately turned on and off along with continuous and rapid shooting in the shooting process of the cameras;
a storage unit for storing captured image data;
a processing unit for processing the image data acquired by the image acquisition device and stored in the storage unit, wherein further comprising:
the calculation module is used for calculating and comparing the brightness values of the two selected adjacent shot images to obtain the brightness difference value of the two images;
the judging module is used for comparing the brightness difference value with a preset threshold value, judging whether the brightness difference value is larger than the preset threshold value or not, and if the brightness difference value is larger than the preset threshold value, judging that the brightness difference value is reflected by a screen and generates glare; if the value is equal to or less than the predetermined value, it is determined that the object is a living body.
The lamp is alternately turned on and off with the frequency of pressing the shutter of the image acquisition device in the shooting process along with continuous and rapid shooting.
The two images shot adjacently are respectively an image shot when the light is turned on and an image shot when the light is turned off.
The lamp arranged at the position around the camera can be a lamp outside the image acquisition device and can also be a flash lamp of the image acquisition device.
The flash lamp of the image acquisition device is controlled to be turned on and off by the processing unit.
The preset threshold value is obtained by collecting an image to be measured with a glare source and converting the image to be measured into brightness distribution image data, collecting an image to be measured without a glare source and converting the image to be measured into brightness distribution image data, and setting the difference value between the two brightness distribution image data as the preset threshold value.
And further, the two brightness distribution image data respectively select the numerical values of the brightest and darkest points respectively to take the average value of the two, and the difference value between the two obtained average values is a preset threshold value.
The device further comprises an alarm unit for alarming the measured object which is judged to be reflected by the screen and generate glare.
The image acquisition device is a camera.
The system can be upgraded and reformed based on cameras, video cameras and the like in the existing recognition system, and the control code program module is implanted into the existing recognition system, so that the functions of the application are realized.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A tamper-proof system for living body identification, comprising:
the image acquisition device is used for acquiring identification parameter data of a living body, and comprises a camera which carries out continuous and rapid shooting;
the lamps are arranged at the peripheral positions of the cameras and used for irradiating a measured object, and the lamps are alternately turned on and off along with continuous and rapid shooting in the shooting process of the cameras;
a storage unit for storing captured image data;
a processing unit for processing the image data acquired by the image acquisition device and stored in the storage unit, wherein further comprising:
the calculation module is used for calculating and comparing the brightness values of the two selected adjacent shot images to obtain the brightness difference value of the two images;
the judging module is used for comparing the brightness difference value with a preset threshold value, judging whether the brightness difference value is larger than the preset threshold value or not, and if the brightness difference value is larger than the preset threshold value, judging that the brightness difference value is reflected by a screen and generates glare; if the value is equal to or less than the predetermined value, it is determined that the object is a living body.
2. A tamper-proof system for living body identification as claimed in claim 1, wherein the alternately turning on and off of the lamp is performed with a frequency of pressing a shutter of the image pickup device in the photographing process with continuously rapid photographing.
3. A tamper-proof system for living body identification as claimed in claim 1, wherein the two images taken adjacently are one image taken when the light is turned on and one image taken when the light is turned off, respectively.
4. The system of claim 1, wherein the light installed around the camera is a light other than the image capturing device, or a flash of the image capturing device.
5. The system of claim 4, wherein the flash of the image capturing device is turned on and off by the processing unit.
6. The system of claim 1, wherein the predetermined threshold is determined by collecting an image to be measured with a glare source and converting it into brightness distribution image data, collecting an image to be measured without a glare source and converting it into brightness distribution image data, and setting a difference between the two brightness distribution image data as the predetermined threshold.
7. The system of claim 6, wherein the two brightness distribution image data are respectively obtained by averaging the values of the brightest and darkest points, and the difference between the two averaged values is a predetermined threshold.
8. The tamper-proof system for living body recognition according to claim 1, further comprising an alarm unit for alarming an object to be measured which is judged to be reflected by the screen and to have glare.
9. A tamper-proof system for living body identification as claimed in claim 1, wherein the image capturing device is a camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911225659.6A CN112905972A (en) | 2019-12-04 | 2019-12-04 | Anti-cracking system for living body identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911225659.6A CN112905972A (en) | 2019-12-04 | 2019-12-04 | Anti-cracking system for living body identification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112905972A true CN112905972A (en) | 2021-06-04 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911225659.6A Pending CN112905972A (en) | 2019-12-04 | 2019-12-04 | Anti-cracking system for living body identification |
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| Country | Link |
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| CN (1) | CN112905972A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170316419A1 (en) * | 2016-05-02 | 2017-11-02 | Giovanni Laporta | Image analysis for live human detection |
| CN107832735A (en) * | 2017-11-24 | 2018-03-23 | 百度在线网络技术（北京）有限公司 | Method and apparatus for identifying face |
| US20180239979A1 (en) * | 2015-09-03 | 2018-08-23 | Nec Corporation | Living body recognition device, living body recognition method, and living body recognition program |
| CN109389719A (en) * | 2018-09-29 | 2019-02-26 | 厦门狄耐克智能科技股份有限公司 | A kind of cell unit door access control system and door opening method |
-
2019
- 2019-12-04 CN CN201911225659.6A patent/CN112905972A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180239979A1 (en) * | 2015-09-03 | 2018-08-23 | Nec Corporation | Living body recognition device, living body recognition method, and living body recognition program |
| US20170316419A1 (en) * | 2016-05-02 | 2017-11-02 | Giovanni Laporta | Image analysis for live human detection |
| CN107832735A (en) * | 2017-11-24 | 2018-03-23 | 百度在线网络技术（北京）有限公司 | Method and apparatus for identifying face |
| CN109389719A (en) * | 2018-09-29 | 2019-02-26 | 厦门狄耐克智能科技股份有限公司 | A kind of cell unit door access control system and door opening method |
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Application publication date: 20210604 |