CN204463159U - Based on the vivo identification device of finger vena stereoscopic features - Google Patents
Based on the vivo identification device of finger vena stereoscopic features Download PDFInfo
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- CN204463159U CN204463159U CN201520149082.6U CN201520149082U CN204463159U CN 204463159 U CN204463159 U CN 204463159U CN 201520149082 U CN201520149082 U CN 201520149082U CN 204463159 U CN204463159 U CN 204463159U
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Abstract
The utility model discloses a kind of vivo identification device based on finger vena stereoscopic features, comprise housing, housing is provided with finger and stretches into hole; Enclosure interior comprises light source module, and light source module comprises several near infrared illumination source, covers the frosted glass scatter plate on its surface; Near infrared illumination source is arranged on the housing above the finger that stretches in housing; Be arranged on the camera near infrared illumination source opposite face and control circuit module, it comprises camera and automatic light source control circuit, and camera is coated with infrared fileter; Reflector module, comprises the first reflector and the second reflector; Whether this device is compared with the finger vena information logging in certified person in advance by three finger-image simultaneously, add accuracy, and authentication object can be checked at short notice to be live body, improve the reliability of finger vena identification.
Description
Technical field
The utility model belongs to living things feature recognition field, particularly relates to a kind of vivo identification device based on finger vena stereoscopic features.
Background technology
At present, biometrics identification technology has been widely used and the every aspect in daily life, and finger vena, as important identity verify feature, has the advantages such as uniqueness, stability, untouchable, antifalsification.But, along with the increasingly extensive application of biological identification technology, refer to that vein recognition system is also faced with threat and the attack of various artificial pseudo-technology for making, there is the log-on message that is stolen and forge vein image equivalent risk.
Document 1 (CN 103617419A) discloses a kind of finger vein identification device with live finger detecting function, and its formation detects pulse wave by built-in infrared line pulse wave detection sensor, judges whether testee is live finger.Weak point is that pulse wave its own signal is faint, is unfavorable for detecting, and detection time is long, and can be invested finger vein identification device of out-tricking on finger by finger vein pattern puppet produced.
Document 2 (CN 103984924A) discloses a kind of reflective finger vena identifying live pick-up unit and method, it only identifies for reflective finger vena, its formation is the data being read electric resistance sensor and temperature sensor by control module respectively, obtain resistance and the temperature parameter of contactant, and compare with the Study first scope of built-in live finger, judge whether contactant parameter meets living body characteristics.But described in document 2, finger comprises forefinger, middle finger, the third finger and little finger of toe four finger, and homonymy pointed by near-infrared light source and camera, and adopts plane characteristic to identify, the utility model finger only comprises a finger,
And both sides pointed by near-infrared light source and camera, three sides utilizing its stereoscopic features simultaneously to take finger are identifying.
Utility model content
In order to solve the shortcoming of prior art, the utility model provides a kind of vivo identification apparatus and method based on finger vena stereoscopic features.
For achieving the above object, the utility model is by the following technical solutions:
Based on a vivo identification device for finger vena stereoscopic features, comprising: housing, housing is provided with finger and stretches into hole;
Described enclosure interior, comprises
Light source module, it comprises several near infrared illumination source, and covers the frosted glass scatter plate on its surface; Described near infrared illumination source is arranged on the housing above the finger that stretches in housing; And
Be arranged on the camera near infrared illumination source opposite face and control circuit module, it comprises camera and automatic light source control circuit, and described camera is coated with infrared fileter; And
Reflector module, it comprises the first reflector and the second reflector, and described first reflector and the second reflector are separately positioned on the both sides of camera and control circuit module, and is acute angle with the angle of the surface level at camera and control circuit module place.
Described housing is made up of black non transparent acrylic board.
Described near infrared illumination source is near-infrared luminous diode.
Described first reflector and the second reflector are the reflector of reflective and light tight material.
Described camera is the responsive camera of near infrared.
Described automatic light source control circuit, comprises microprocessor, signal processing circuit and power circuit, and described microprocessor is connected with signal processing circuit, and power circuit is that described automatic light source control circuit is powered.
The beneficial effects of the utility model are:
(1) finger vena In vivo detection recognition device of the present utility model is by its inner reflector arranged, the venous information of finger front and two sides can be obtained simultaneously, effectively judge whether testee is live finger, the vein image preventing adulterator from utilizing puppet to produce is out-tricked finger vein identification device;
(2) recognition methods of the present utility model is compared with the finger vena information logging in certified person in advance by three finger-image simultaneously, add accuracy, and authentication object can be checked at short notice whether to be live body, to improve the reliability of finger vena identification;
(3) Gabor filter is adopted to carry out filtering when the utility model calculates the proper vector of all numbering areas, Gabor filter is very similar to human biological's visual characteristic, texture feature extraction has this lot of successfully application, LBP is a kind of very effective texture description operator, and there is certain illumination invariant, the two combination can well be described vein pattern.
Accompanying drawing explanation
Fig. 1 refers to the principal section figure of vein In vivo detection recognition device;
Fig. 2 refers to the sectional side view of vein In vivo detection recognition device;
Fig. 3 refers to the schematic appearance of vein In vivo detection recognition device;
Fig. 4 is the schematic diagram of the finger venous image collected;
Fig. 5 refers to vein In vivo detection recognition methods process flow diagram.
Wherein, 1 housing, 2 reflector modules, 3 cameras, 4 infrared fileters, 5 near infrared illumination source, 6 automatic control light source circuits, 7 power modules, 8 fingers stretch into hole, 9 light source modules, 10 reflecting board area, 11 cameras and control circuit module.
Embodiment
Below in conjunction with accompanying drawing and embodiment, the utility model is described further:
As shown in Figure 1-Figure 3, a kind of vivo identification device based on finger vena stereoscopic features, comprising: housing 1, housing 1 is provided with finger and stretches into hole 8; Described housing 1 is inner, and comprise light source module 9, it comprises several near infrared illumination source 5, and covers the frosted glass scatter plate on its surface; Described near infrared illumination source 5 is arranged on the housing 1 above the finger that stretches in housing; And the camera be arranged near infrared illumination source 5 opposite face and control circuit module 11, it comprises camera 3 and automatic light source control circuit 6, and described camera 3 is coated with infrared fileter 4; And reflector module 2, it comprises the first reflector and the second reflector, and described first reflector and the second reflector are separately positioned on the both sides of camera and control circuit module 11, and is acute angle with the angle of the plane at camera and control circuit module 11 place.The responsive camera of near infrared selected by described camera 3.
Housing 1 adopts light light-proof material such as black acrylic board, and the first reflector of reflector module 2 and the second reflector all adopt light light tight and have the material of light-reflecting property, as bright black acrylic board.
Nearly red near infrared illumination source 5 selects wave band to be the near-infrared luminous diode of 805nm, and light emitting diode is a row is arranged on the housing above the finger that stretches in housing, and near-infrared luminous diode light-source 5 and finger stretch between hole 8 and place a frosted glass, light source is by frosted glass scattering, form uniform fold at the infrared light of finger surface, avoid the even hyperreflexia that makes of uneven illumination to affect finger vena shooting effect.
Reflecting board area 10, for placing reflector module 2, it comprises bright black acrylic board of placement, reflector is placed from the horizontal by certain angle, the illumination that near-infrared luminous diode light-source is sent is mapped on finger, through finger scattering, transmission, a part directly enters in the camera lens of the responsive camera of near infrared, a part enters into the camera lens of the responsive camera of near infrared through the reflection of side reflector, finally leaves the vein image clearly of finger front and two sides at the responsive camera place of near infrared.
Automatic light source control circuit 6 comprises the responsive camera of microprocessor, signal processing circuit, power circuit 7 and near infrared and covers the infrared fileter for filtering environmental light and veiling glare on the responsive camera lens of near infrared.Power circuit 7 comprises battery, USB interface and transforming circuit.
As shown in Figure 5, the finger finger vena In vivo detection identifying of this device is:
Step S1: the preparation of device and startup work
Device powers on, by power circuit 7 for whole equipment provides power supply; The finger finger stretched on device case is stretched in hole, starts near infrared light source and the camera of the In vivo detection recognition device of finger vena stereoscopic features, automatic light source control circuit adjustment near infrared light source intensity of illumination; Reflector can be bright black acrylic board or the reflector with light tight characteristic, reflects to form image for finger at side;
Step S2: after the intensity of light source is stable, camera place gathers the finger original image stretching into the In vivo detection recognition device of finger vena stereoscopic features, and described finger original image comprises the left surface of finger, right flank and three, front vein image;
Step S3: the finger original image obtained by step S2 is separated into three discrete finger areas, carries out denoising to each finger areas and vein strengthens process, and extracts the texture features of each finger areas;
Step S4: the characteristic matching in this region of the people of respective identity corresponding in the textural characteristics extracted by step S3 and database, judges whether tested finger is live finger:
If three finger areas matching results are all successfully, then net result is identities match success, judges that tested finger is as live finger;
If wherein there is a finger areas matching result to be that unsuccessfully then finally it fails to match, judge that being pointed is not live finger.
The process that automatic light source control circuit controls near infrared light source is:
Step S121: collected by camera one frame vein image;
Step S122: the central area of vein image that the microprocessor of automatic light source control circuit will collect, carry out the statistics of gray-scale value, if the gray-scale value mean value in this region is greater than the gray-scale value threshold range preset, then image is excessively bright, otherwise image is excessively dark;
Step S123: microprocessor is according to the judged result of step S122, light-source brightness adjustment signal is sent to control circuit module, proceed to step S122 again, until the gray-scale value of finger scope drops in the threshold range of regulation, now the intensity of light source size that sends of near infrared light source is suitable.
As shown in Figure 4, due to the existence of reflector, the piece image collected at the responsive camera place of near infrared comprises finger left and right side and three, front vein image, embodies the structure of the space multistory distribution of finger vena in finger.
By the process that finger original image is separated into three discrete finger areas be:
First finger original image is converted to gray level image; Then, adopt the method for fixed threshold, finger areas and background are separated, chooses 50 through repetition test threshold value here, removal background, leave three discrete finger areas; Finally, from left to right successively 1 is numbered to each region, 2,3.
Carry out denoising and vein enhancing to each numbering area, object improves the quality of vein image, is that vein pattern is more clear, thus improves final accuracy of identification.To the denoising of finger areas, employing be the method for medium filtering.Medium filtering is a kind of nonlinear smoothing technology, the gray-scale value of each pixel is set to the intermediate value of all pixel gray-scale values in this some neighborhood window, and what here neighborhood window adopted is the region of 3*3.Finger vena is strengthened, have employed based on multi thresholds fuzzy algorithm, first the grayvalue transition of image is fuzzy characteristics matrix by the enhanced fuzzy of image, then on Fuzzy property domain, by the computing of certain fuzzy operator, the ambiguity of image is disappeared, thus reaches the object of image enhaucament.Can strengthen the contrast of image better based on fuzzy image enchancing method, especially for the image that contrast is very poor, its effect is significant.Finger venous image is a kind of infrared image, and the feature of infrared image is exactly that contrast is low, edge fog and low signal-to-noise ratio.Good effect will be produced so the method for enhanced fuzzy be used in the process of finger venous image.
The process extracting the texture features of each finger areas is:
First each region is carried out to the Gabor filtering in 8 directions, then respectively LBP coding is carried out to 8 width images after filtering, and difference block statistics histogram, finally all histogram features are linked to be a proper vector, as the feature in this region.
The process of the characteristic matching in this region of the people of the respective identity corresponding in the textural characteristics and the database that extract is:
Euclidean distance between the proper vector calculating this region of the people of respective identity corresponding in the proper vector of numbering area 1,2 and 3 and database respectively: if the Euclidean distance calculating gained is less than set threshold value, then think that identities match successfully; Otherwise then it fails to match; Numbering area has three, and matching result also has three, is respectively R1, R2, R3 (use 1 respectively, 0 represent the match is successful and failure).
Make R=R1 & & R2 & & R3, if R value is 1, net result is identities match success; If R value is 0, then think that finally it fails to match.One or two may be had to be 1 in R1, R2, R3 in the forgery attack means such as vein picture attack, final three's phase and result and R value be 0.
So far In vivo detection and identities match step terminate, method based on this device achieves, detect whether the user's vein pattern attempting the system of entering is the live body with spatial structure, to a certain degree avoid and forge finger vena to the attack of system, add the reliability of finger vein recognition system, the method is compared with the finger vena information logging in certified person in advance by three finger-image simultaneously simultaneously, adds accuracy.
By reference to the accompanying drawings embodiment of the present utility model is described although above-mentioned; but the restriction not to the utility model protection domain; one of ordinary skill in the art should be understood that; on the basis of the technical solution of the utility model, those skilled in the art do not need to pay various amendment or distortion that creative work can make still within protection domain of the present utility model.
Claims (6)
1., based on a vivo identification device for finger vena stereoscopic features, it is characterized in that, comprising:
Housing, housing is provided with finger and stretches into hole;
Described enclosure interior, comprises
Light source module, it comprises several near infrared illumination source, and covers the frosted glass scatter plate on its surface; Described near infrared illumination source is arranged on the housing above the finger that stretches in housing; And
Be arranged on the camera near infrared illumination source opposite face and control circuit module, it comprises camera and automatic light source control circuit, and described camera is coated with infrared fileter; And
Reflector module, it comprises the first reflector and the second reflector, and described first reflector and the second reflector are separately positioned on the both sides of camera and control circuit module, and is acute angle with the angle of the surface level at camera and control circuit module place.
2. a kind of vivo identification device based on finger vena stereoscopic features as claimed in claim 1, it is characterized in that, described housing is made up of black non transparent acrylic board.
3. a kind of vivo identification device based on finger vena stereoscopic features as claimed in claim 1, it is characterized in that, described near infrared illumination source is near-infrared luminous diode.
4. a kind of vivo identification device based on finger vena stereoscopic features as claimed in claim 1, it is characterized in that, described first reflector and the second reflector are the reflector of reflective and light tight material.
5. a kind of vivo identification device based on finger vena stereoscopic features as claimed in claim 1, is characterized in that, described camera is the responsive camera of near infrared.
6. a kind of vivo identification device based on finger vena stereoscopic features as claimed in claim 1, it is characterized in that, described automatic light source control circuit, comprise microprocessor, signal processing circuit and power circuit, described microprocessor is connected with signal processing circuit, and power circuit is that described automatic light source control circuit is powered.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111832482A (en) * | 2020-07-14 | 2020-10-27 | 华南理工大学 | Open type three-dimensional finger vein recognition equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111832482A (en) * | 2020-07-14 | 2020-10-27 | 华南理工大学 | Open type three-dimensional finger vein recognition equipment |
| CN111832482B (en) * | 2020-07-14 | 2024-04-16 | 华南理工大学 | Open three-dimensional finger vein recognition equipment |
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