CN110020573A - In vivo detection system - Google Patents
In vivo detection system Download PDFInfo
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- CN110020573A CN110020573A CN201810014844.XA CN201810014844A CN110020573A CN 110020573 A CN110020573 A CN 110020573A CN 201810014844 A CN201810014844 A CN 201810014844A CN 110020573 A CN110020573 A CN 110020573A
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- visible images
- vivo detection
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- detection system
- data processing
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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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- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a kind of In vivo detection systems, it includes light sensor, camera and data processing module, the data processing module receives the ambient light intensity that the light sensor detects, and judge whether the ambient light intensity reaches preset threshold, if reaching preset threshold, the visible images of user are shot, the data processing module receives the visible images, and visible images are analyzed, judge whether the visible images have colour information；Or further the user colour in visible images is analyzed, judge whether user colour meets preset color gamut.
Description
Technical field
The present invention relates to In vivo detection technical fields, and in particular to a kind of In vivo detection system.
Background technique
In vivo detection be a kind of detection device user whether be living body technology, user characteristics are acquired by sensor and are led to
It crosses the technological means such as algorithm, statistics, machine learning and realizes that In vivo detection, the infrared image that iris recognition needs to acquire user carry out
Identification compares, the method for most common non-living body deception iris authentication system be using be printed with the paper of infrared iris image into
Row iris recognition, since the infrared image printed only has grayscale information, infrared iris image of the present invention for printing
With good detection effect.
Currently, the mobile phone front with iris identifying function is designed with infrared camera and the acquisition of acquisition iris image
The visible image capturing head of visible images, but the colouring information of visible images is not used in the prior art, it can not
The infrared image of effectively prevention Paper Printing cheats iris authentication system.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of quick, simple In vivo detection systems, effectively avoid paper
The infrared image for opening printing cheats iris authentication system.
In order to realize the above technical effect, the invention discloses a kind of In vivo detection systems comprising at camera and data
Module, visible images of the camera to shoot user are managed, the data processing module receives the visible images, and
Visible images are analyzed, judge whether the visible images have colour information.
The improvement of In vivo detection system of the present invention is that the data processing module is to the user colour in visible images
It is analyzed, judges whether user colour meets preset color gamut.
In vivo detection system of the present invention further improvement lies in that, further include light sensor, the data processing module
The ambient light intensity that the light sensor detects is received, and judges whether the ambient light intensity reaches preset threshold.
In vivo detection system of the present invention further improvement lies in that, the camera can also shoot the infrared figure of user
Picture.
In vivo detection system of the present invention further improvement lies in that, the camera includes visible image capturing head and infrared takes the photograph
As head, visible images of the visible image capturing head to shoot user, the infrared camera is to shoot the red of user
Outer image.
In vivo detection system of the present invention further improvement lies in that, the data processing module judges eye in visible images
Whether the peripheral region of eyeball has colour information.
In vivo detection system of the present invention further improvement lies in that, the data processing module is to eyes in visible images
The user colour of peripheral region is analyzed, and judges whether the user colour of eyes peripheral region meets preset color gamut.
In vivo detection system of the present invention further improvement lies in that, the colored region in the visible images reaches certain
Area or colour element reach certain pixel number, and the data processing module determines that the visible images pass through In vivo detection.
Aforementioned biopsy method, on the hardware foundation of existing electronic equipment, using captured by visible image capturing head
Color image carries out In vivo detection, and the biopsy method has significant detection effect for the iris image of Paper Printing
Fruit, while not increasing additional hardware cost, it realizes In vivo detection, promotes iris recognition safety.
Detailed description of the invention
Fig. 1 is the flow chart of In vivo detection system of the present invention.
Fig. 2 is the schematic diagram of eyes peripheral region in visible images.
Specific embodiment
With reference to the accompanying drawing and specific embodiment the present invention is described in further detail.
As shown in Figure 1, In vivo detection system of the present invention includes camera and data processing module, the camera can be clapped
The visible images of user are taken the photograph, the data processing module receives the visible images that camera takes, and to visible light figure
As being analyzed, judge whether the visible images have colour information, if having colour information, In vivo detection passes through.Compared with
Goodly, the data processing module can also further analyze the user colour in visible images, judge user colour
Whether preset color gamut is met, and In vivo detection passes through if meeting preset color gamut.Wherein, the preset color
Range refers to that data processing module first passes through the color gamut for the human body complexion that big data counts in advance.
Further, when extraneous environmental light brightness is lower, the visible images quality that camera takes is relatively low, can not
The color information of accurate recording subject judges to malfunction so as to cause In vivo detection.It therefore in the present embodiment, further include one
The light sensor of detectable ambient light intensity, the data processing module can receive the ring that the light sensor detects
Border luminous intensity, and judge whether ambient light intensity reaches preset threshold, if reaching preset threshold, shoot visible images progress
In vivo detection.
In one embodiment, the camera is the infrared image that double-purpose camera can also shoot user, i.e., described to take the photograph
As head can not only shoot user visible images carry out In vivo detection, but also can shoot user infrared image carry out iris knowledge
Not.
In another embodiment, the camera includes visible image capturing head and infrared camera, i.e. visible light camera
Visible images to shoot user carry out In vivo detection, and infrared camera carries out iris to shoot the infrared image of user
Identification.
Further, as shown in Fig. 2, the present invention is generally mated iris recognition carries out using therefore taking under normal conditions
Visible images in only include ocular, and there is not complete face image, therefore the data processing module is pair
Whether eyes peripheral region 10 there is colour information to be judged in visible images, or to eyes peripheral region in visible images
Whether the user colour in domain 10, which meets preset color gamut, is judged.In other embodiments, it is seen that light image may also
There is complete face image, at this time can colour information to entire face image or Skin Color Information judge.
Further, the colored region in the visible images reaches certain area or the total amount of colour element reaches one
Determine pixel number, the data processing system just determines that the visible images In vivo detection passes through.
Further, when detecting to user colour, the region for meeting the user colour of pre-set color range reaches
Certain area or the pixel quantity for the user colour for meeting pre-set color range reach certain pixel number, just assert that In vivo detection is logical
It crosses.
As shown in Figure 1, user, if ambient light intensity reaches preset threshold, starts camera when carrying out authentication,
Visible images and infrared image are shot simultaneously, human eye detection then is carried out to infrared image, if infrared image includes human eye figure
Picture then carries out color judgement to visible images by data processing module, and In vivo detection is logical if colour element reaches threshold value
It crosses, data processing module also carries out iris segmentation to the human eye in infrared image at the same time, judge whether iris recognition passes through,
When In vivo detection and iris recognition pass through simultaneously, just identification authentication passes through, and otherwise authentication fails.
It is described the invention in detail above in conjunction with accompanying drawings and embodiments, those skilled in the art can basis
Above description makes many variations example to the present invention.Thus, certain details in embodiment should not constitute limitation of the invention,
The present invention will be using the range that the appended claims define as protection scope of the present invention.
Claims (8)
1. a kind of In vivo detection system, including camera and data processing module, it is characterised in that: the camera is to shoot
The visible images of user, the data processing module receives the visible images, and analyzes visible images, judgement
Whether the visible images have colour information.
2. In vivo detection system according to claim 1, it is characterised in that: the data processing module is to visible images
In user colour analyzed, judge whether user colour meets preset color gamut.
3. In vivo detection system according to claim 1, it is characterised in that: further include light sensor, at the data
Reason module receives the ambient light intensity that the light sensor detects, and judges whether the ambient light intensity reaches default threshold
Value.
4. In vivo detection system according to claim 1, it is characterised in that: the camera can also shoot the red of user
Outer image.
5. In vivo detection system according to claim 1, it is characterised in that: the camera include visible image capturing head and
Infrared camera, visible images of the visible image capturing head to shoot user, the infrared camera is to for shooting
The infrared image at family.
6. In vivo detection system according to claim 1, it is characterised in that: the data processing module judges visible light figure
Whether the peripheral region of eyes has colour information as in.
7. In vivo detection system according to claim 2, it is characterised in that: the data processing module is to visible images
The user colour of middle eyes peripheral region is analyzed, and judges whether the user colour of eyes peripheral region meets preset color
Range.
8. In vivo detection system according to claim 1, it is characterised in that: the colored region in the visible images reaches
Reach certain pixel number to certain area or colour element, the data processing module determines that the visible images are examined by living body
It surveys.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810014844.XA CN110020573A (en) | 2018-01-08 | 2018-01-08 | In vivo detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810014844.XA CN110020573A (en) | 2018-01-08 | 2018-01-08 | In vivo detection system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110020573A true CN110020573A (en) | 2019-07-16 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
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| CN201810014844.XA Pending CN110020573A (en) | 2018-01-08 | 2018-01-08 | In vivo detection system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112001785A (en) * | 2020-07-21 | 2020-11-27 | 小花网络科技(深圳)有限公司 | Network credit fraud identification method and system based on image identification |
| CN112651268A (en) * | 2019-10-11 | 2021-04-13 | 北京眼神智能科技有限公司 | Method and device for eliminating black and white photos in biopsy, and electronic equipment |
| CN113096111A (en) * | 2021-04-25 | 2021-07-09 | 深圳市永丰盈电子有限公司 | Material detection method, system, computer program product and readable storage medium |
| CN113627346A (en) * | 2021-08-11 | 2021-11-09 | 深圳市捷顺科技实业股份有限公司 | Channel gate detection method, device, equipment and readable storage medium |
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| CN103116763A (en) * | 2013-01-30 | 2013-05-22 | 宁波大学 | Vivo-face detection method based on HSV (hue, saturation, value) color space statistical characteristics |
| WO2015127313A1 (en) * | 2014-02-21 | 2015-08-27 | Samsung Electronics Co., Ltd. | Multi-band biometric camera system having iris color recognition |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112651268A (en) * | 2019-10-11 | 2021-04-13 | 北京眼神智能科技有限公司 | Method and device for eliminating black and white photos in biopsy, and electronic equipment |
| CN112651268B (en) * | 2019-10-11 | 2024-05-28 | 北京眼神智能科技有限公司 | Method and device for eliminating black-and-white photo in living body detection and electronic equipment |
| CN112001785A (en) * | 2020-07-21 | 2020-11-27 | 小花网络科技(深圳)有限公司 | Network credit fraud identification method and system based on image identification |
| CN113096111A (en) * | 2021-04-25 | 2021-07-09 | 深圳市永丰盈电子有限公司 | Material detection method, system, computer program product and readable storage medium |
| CN113627346A (en) * | 2021-08-11 | 2021-11-09 | 深圳市捷顺科技实业股份有限公司 | Channel gate detection method, device, equipment and readable storage medium |
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