CN207182298U - A kind of three-dimensional finger vein recognition system - Google Patents
A kind of three-dimensional finger vein recognition system Download PDFInfo
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- CN207182298U CN207182298U CN201720932291.7U CN201720932291U CN207182298U CN 207182298 U CN207182298 U CN 207182298U CN 201720932291 U CN201720932291 U CN 201720932291U CN 207182298 U CN207182298 U CN 207182298U
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Abstract
The utility model discloses a kind of three-dimensional finger vein recognition system, including near-infrared light source, three high-definition cameras, finger placement positioning area, vein image processing unit；Near-infrared light source is evenly distributed on the top in finger placement positioning area, three high-definition camera specifications parameters are all identical, three high-definition cameras are equipped with visible ray edge filter, three high-definition cameras are arranged in an isocentric circular arc, and three high-definition cameras are all connected with vein image processing unit；Vein image processing unit is used to receive the image information that three high-definition cameras obtain, and the image information for obtaining three high-definition cameras is merged, so as to obtain finger vena 3-D view, by being contrasted with the original image prestored, identification is realized, exports recognition result.The utility model not only increases the accuracy of vena identification, and the requirement put to finger also reduces, so as to improve Consumer's Experience.
Description
Technical field
It the utility model is related to ray machine electro-technical field, and in particular to a kind of three-dimensional finger vein recognition system.
Background technology
Biometrics identification technology is taken the course of its own because of its unique advantage in security in the network information security, is expected to
Played a significant role in terms of mobile payment authentication, guarantee user's fund security.Wherein, vein identification technology is referred to because of its tool
Have the advantages that environment resistant interference is strong, safe, it has also become people study and the new direction of industry development.
It is to penetrate the veinprint image of gained after finger using near infrared ray to carry out personal knowledge to refer to vein identification technology
Not, it is to have the advantages that vivo identification, safe class are high, anti-interference is good.Hand vein identification technology is earliest by Britain
Joseph Rice invent in nineteen eighty-three, and are named as Veincheck, and this is the blank of modern age hand vein technology.From this, Australia is big
The country such as Leah, Japan, South Korea has started relation technological researching in succession.Wherein Australia, South Korea are known with studying hand back vein
Based on other system.Research direction has been turned to finger vein identification technology by Japan, on the one hand gets around the patent of Palm-dorsal vein recognition
Limitation, one side finger vena also can greatly reduce the volume of equipment.Early in 1997, center research institute of Hitachi began to
Research to finger vena identification technology, multinomial patent has been obtained so far.The product pin of finger vena identification in Japan
Sell volume every year to increase, untill at this stage, 10,000 units have been had more than in Japan finger vena identification system is used
System, including school, bank, department of government bodies etc., according to the statistics in March, 2007, has just there is 80% ATM
It is equipped with finger vena authentication system.It can be seen that the application popularization degree of finger vein identification technology is very high.
Traditional finger hand vein recognition equipment is for imaging unit with single-lens, and finger is placed in into fixed position, near infrared light
Finger is transmitted, by obtaining vein finger-image through infrared camera.
However, when obtaining finger-image, the image obtained is one dimensional image, if finger rotation, posture occurs not
Just, change by a relatively large margin occurs in formed vein image.Such as when groups of people are overlapping in the presence of two veins, from just
The image that face obtains is that a vein or a vein bifurcated occur.But the image obtained from side, it is likely that be two
The separated vein of bar；In another example from front obtain be straight line vein, be but probably from the side have necessarily bend it is quiet
Arteries and veins.Recognition failures are thus easily caused, influence Consumer's Experience.
Utility model content
In view of this, in order to solve above mentioned problem of the prior art, the utility model proposes a kind of three-dimensional finger vena
Identifying system, using three camera modes, by image mosaic composition algorithm, the three-dimensional imaging for referring to vein is realized, is not only increased
Vena identification accuracy, the requirement put to finger also reduces, so as to improve Consumer's Experience.
The utility model is solved the above problems by following technological means：
A kind of three-dimensional finger vein recognition system, including near-infrared light source, three high-definition cameras, finger placement positioning
Area, vein image processing unit；
Near-infrared light source is evenly distributed on the top in finger placement positioning area, three high-definition camera specifications parameters all phases
Together, three high-definition cameras are equipped with visible ray edge filter, and three high-definition cameras are arranged in an isocentric circular arc, and three
Individual high-definition camera is all connected with vein image processing unit；
Vein image processing unit is used to receiving the image information that three high-definition cameras obtain, and by three high-definition cameras
The image information that head obtains is merged, so as to obtain finger vena 3-D view, by entering with the original image prestored
Row contrast, realizes identification, exports recognition result.
Further, the near-infrared light source is made up of near-infrared LED lamp of the wavelength in 800nm to 900nm.
Compared with prior art, the beneficial effects of the utility model are as follows：
The utility model uses three camera modes, by image mosaic composition algorithm, realizes the three-dimensional imaging for referring to vein.
Due to obtain be finger vena 3-D view, therefore, when finger gesture occurs not just, or when rotation, still can
Realize accurately identifying for vein pattern.The accuracy of vena identification is not only increased, the requirement put to finger also reduces, so as to
Improve Consumer's Experience.
Brief description of the drawings
, below will be to needed for embodiment description in order to illustrate more clearly of the technical scheme in the embodiment of the utility model
The accompanying drawing to be used is briefly described, it should be apparent that, drawings in the following description are only some realities of the present utility model
Example is applied, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to these accompanying drawings
Obtain other accompanying drawings.
Fig. 1 is the structural representation of the utility model solid finger vein recognition system.
Embodiment
To enable above-mentioned purpose of the present utility model, feature and advantage more obvious understandable, below in conjunction with accompanying drawing and
The technical solution of the utility model is described in detail specific embodiment.It is pointed out that described embodiment is only
Only it is the utility model part of the embodiment, rather than whole embodiments, based on the embodiment in the utility model, this area
The every other embodiment that those of ordinary skill is obtained under the premise of creative work is not made, belongs to the utility model
The scope of protection.
As shown in figure 1, the utility model provides a kind of three-dimensional finger vein recognition system, including a near-infrared light source, three
Individual high-definition camera (being equipped with visible ray edge filter), a finger placement positioning area, a vein image processing unit.
Wherein near-infrared light source is made up of near-infrared LED lamp of the wavelength in 800nm to 900nm.Light source is evenly distributed on hand
Refer to the top in placement positioning area.
Three specifications parameters all identical high-definition cameras, are equipped with visible ray edge filter, only near infrared light energy
Enough pass through.Camera equipped with visible ray edge filter can receive the near infrared light for penetrating finger, because oxygen is blood red in blood vessel
Absorption of the albumen near infrared light is strong, therefore the part for having blood vessel can show black image.Three high-definition camera cambers
Finger two sides and front are imaged by arrangement respectively.Later stage needs to be closed the image that three high-definition cameras obtain
Into.Due to three's position gap, it is poor that the image of acquisition has certain visual field, therefore arranges, three high-definition cameras should arrange
In an isocentric circular arc so that the picture effect of shooting approaches, and is handled beneficial to later stage shearing and synthesis.
Vein image processing unit is used to receiving the image information that three high-definition cameras obtain, and by three high-definition cameras
The image information that head obtains is merged, so as to obtain finger vena 3-D view, by entering with the original image prestored
Row contrast, realizes identification, exports recognition result.
, it is necessary to be post-processed to image after lenticule imaging unit is obtained, pass through image mosaic technology, profit first
Matched with gray value, border mixing scheduling algorithm, scrappy elementary area is synthesized to the finger vena figure of width completion, then passed through
Feature extraction algorithm carries vein pattern, obtains vein pattern figure.Contrasted finally by with the original image prestored, it is real
Existing identification, exports recognition result.
Compared with prior art, the beneficial effects of the utility model are as follows：
The utility model uses three camera modes, by image mosaic composition algorithm, realizes the three-dimensional imaging for referring to vein.
Due to obtain be finger vena 3-D view, therefore, when finger gesture occurs not just, or when rotation, still can
Realize accurately identifying for vein pattern.The accuracy of vena identification is not only increased, the requirement put to finger also reduces, so as to
Improve Consumer's Experience.
Embodiment described above only expresses several embodiments of the present utility model, and its description is more specific and detailed,
But therefore it can not be interpreted as the limitation to the utility model patent scope.It should be pointed out that for the common of this area
For technical staff, without departing from the concept of the premise utility, various modifications and improvements can be made, these all belong to
In the scope of protection of the utility model.Therefore, the protection domain of the utility model patent should be determined by the appended claims.
Claims (2)
1. a kind of three-dimensional finger vein recognition system, it is characterised in that including near-infrared light source, three high-definition cameras, fingers
Placement positioning area, vein image processing unit；
Near-infrared light source is evenly distributed on the top in finger placement positioning area, and three high-definition camera specifications parameters are all identical, and three
Individual high-definition camera is equipped with visible ray edge filter, and three high-definition cameras are arranged in an isocentric circular arc, three height
Clear camera is all connected with vein image processing unit；
Vein image processing unit is used to receive the image information that three high-definition cameras obtain, and three high-definition cameras are obtained
The image information taken is merged, so as to obtain finger vena 3-D view, by being carried out with the original image prestored pair
Than realizing identification, exporting recognition result.
2. three-dimensional finger vein recognition system according to claim 1, it is characterised in that the near-infrared light source is by wavelength
Formed in 800nm to 900nm near-infrared LED lamp.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201720932291.7U CN207182298U (en) | 2017-07-28 | 2017-07-28 | A kind of three-dimensional finger vein recognition system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201720932291.7U CN207182298U (en) | 2017-07-28 | 2017-07-28 | A kind of three-dimensional finger vein recognition system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109151402A (en) * | 2018-10-26 | 2019-01-04 | 深圳市道通智能航空技术有限公司 | Image processing method, image processing system and the unmanned plane of aerial camera |
| CN110163164A (en) * | 2019-05-24 | 2019-08-23 | Oppo广东移动通信有限公司 | A kind of method and device of fingerprint detection |
| CN111222484A (en) * | 2020-01-14 | 2020-06-02 | 重庆工商大学 | Three-dimensional hand back vein verification system |
| CN111222483A (en) * | 2020-01-14 | 2020-06-02 | 重庆工商大学 | Three-dimensional finger vein recognition system |
-
2017
- 2017-07-28 CN CN201720932291.7U patent/CN207182298U/en active Active
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109151402A (en) * | 2018-10-26 | 2019-01-04 | 深圳市道通智能航空技术有限公司 | Image processing method, image processing system and the unmanned plane of aerial camera |
| CN110163164A (en) * | 2019-05-24 | 2019-08-23 | Oppo广东移动通信有限公司 | A kind of method and device of fingerprint detection |
| CN110163164B (en) * | 2019-05-24 | 2021-04-02 | Oppo广东移动通信有限公司 | Fingerprint detection method and device |
| CN111222484A (en) * | 2020-01-14 | 2020-06-02 | 重庆工商大学 | Three-dimensional hand back vein verification system |
| CN111222483A (en) * | 2020-01-14 | 2020-06-02 | 重庆工商大学 | Three-dimensional finger vein recognition system |
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