CN105787414A - Finger vein recognition terminal of banking system and image processing method of finger vein recognition terminal - Google Patents
Finger vein recognition terminal of banking system and image processing method of finger vein recognition terminal Download PDFInfo
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- CN105787414A CN105787414A CN201410781121.4A CN201410781121A CN105787414A CN 105787414 A CN105787414 A CN 105787414A CN 201410781121 A CN201410781121 A CN 201410781121A CN 105787414 A CN105787414 A CN 105787414A
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Abstract
The invention relates to a finger vein recognition terminal of a banking system and an image processing method of the finger vein recognition terminal. The finger vein recognition terminal of the banking system includes a shell, an infrared LED lamp, a processor chip and a CCD camera; a finger guide slot is produced on the shell; the shell is provided with the infrared LED lamp located above the finger guide slot; the bottom of the finger guide slot is provided with a finger touch panel; the finger touch panel is connected with an image acquisition card; the CCD camera which is just located below the finger touch panel is installed in the shell; the CCD camera and the image acquisition card are both connected with the processor chip installed in the shell; a USB communication interface is produced on a side wall of the shell; and a power source adapter interface is produced on the rear wall of the shell. The recognition terminal is simple in structure, scientific and reasonable in design, simple in operation and portable; and the recognition terminal will not leak information, so that the recognition terminal has safety and reliability, and is suitable for the banking system.
Description
Technical field
The invention belongs to living things feature recognition field, relate to finger vena identification, the finger vein recognition terminal of especially a kind of banking system and image processing method thereof.
Background technology
The terminal recognition equipment of current bank is to input numerical ciphers or fingerprint, and the shortcoming of both input modes is: easily reveals not easily preservation and is affected by extraneous factor relatively larger, particularly some old men or rural population is used more aobvious inconvenience.
Finger vein identification technology refers to: can absorb the light of specific wavelength according to the blood of flowing in human finger, and use specific wavelength light opponent to refer to be irradiated, thus obtaining the picture rich in detail of finger vena, then the image obtained is analyzed, processes, thus obtaining the biological characteristic of finger vena, again the finger vein features information obtained is compared with the finger vein features registered in data base in advance, thus confirming the identity of registrant.
Finger vein identification technology is second filial generation biometrics identification technology, relative to first generation living things feature recognition and fingerprint, shape of face and iris technology；Finger vein identification technology utilizes the vein distributed image in finger to compare, efficiently avoid because the wrinkle of skin surface, fold, the impact such as coarse, dry and cracked or overly wet obtain the problem of exact image feature, and precision all can be kept under various circumstances constant.Meanwhile, during identification, contact is few even without contact, does not have the fingertip surface features danger by third party's fraudulent copying；It addition, system obtain be finger live body time just existence feature, the finger of non-living body can not get vein image feature, thus also just cannot fake, further increases the safety of identification.
But, the existing equipment carrying out authentication based on finger vena identification, there is structure complexity, volume dotes on big and that accuracy of detection is low deficiency；It addition, light source also has the defect of instability, thus reducing the precision of the image collected.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art part, it is provided that a kind of simple in construction, design science are reasonable, accuracy of detection is high, image is clearly accurately for the finger vein recognition terminal of banking system.
This invention address that technical problem be the technical scheme is that
A kind of finger vein recognition terminal of banking system, including housing, infrared LEDs lamp, processor chips, and ccd video camera, housing is shaped with finger gathering sill, housing above finger gathering sill is installed near infrared ray LED, finger touch panel is installed in the bottom of finger gathering sill, this finger touch panel connects an image pick-up card, in just to the housing below finger touch panel, ccd video camera is installed, described ccd video camera, image pick-up card is all connected with the processor chips being arranged in housing, the sidewall of housing is shaped with USB communication interface, rear wall at housing is shaped with power adaptor interface.
And, described shell is molding wear-resistant temperature-resistant waterproof case.
And, described near infrared ray LED is the wavelength infrared LEDs lamp at 700-900nm.
And, described ccd video camera is for compensating steady light type ccd video camera.
And, described image pick-up card is anti-distortion digitized image capture card.
And, described processor chips are the chip containing CPU, and chip includes power transfer module.
And, described USB communication interface is the USB communication interface of 3.0 or more highest version, and with compatible driver.
A kind of image processing method of the finger vein recognition terminal of banking system, step is as follows:
(1) Image semantic classification: including gradation of image normalized and image enhancement processing, the formula that described image normalization processes is y=((x-min) * 255)/(max-min)；Described image enhancement processing adopts the contrast that histogram equalization carries out image to strengthen, and uses gaussian filtering to carry out image denoising；
(2) image segmentation: adopt NiBlack method；
(3) post processing of image: include noise remove and breakpoint, hole correcting process, described noise remove adopts medium filtering to process, described breakpoint, hole correcting process are the breakpoint joint that the method carrying out closed operation again by first horizontal expansion carries out small distance, and hole usable floor area elimination approach is purged.
(4) image thinning and correction: usable floor area elimination approach removes discrete point and discrete lines, additionally calculates the distance from end points to cross point, is considered as burr and removes when lines are less than threshold value；
(5) image comparison, identification: use HUShi Invariant Moment Method.
Advantages of the present invention and having the benefit effect that
1, this identification terminal simple in construction, design science are reasonable, simple to operate, carry with, will not reveal, and safety and reliability are high, it is adaptable to banking system.
2, this identification terminal adopts and compensates steady light type ccd video camera, thus ensure that under different environmental conditions projection refers to the uniformity of arteries and veins image, and ccd video camera belongs to semiconductor device, low in energy consumption, stability is high, be more suitable for doing the parts of electric terminal.
3, this identification terminal uses digitized image capture card, it is possible to must collect finger venous image be digitally converted and finally process identification to core component intelligent processing method device (containing CPU) chip clearly more.
4, the application of this identification terminal intelligent processing method device (containing CPU) chip makes whole equipment be provided with data processing function at a high speed, and with intelligentized logical operations: the digital image information that image pick-up card conversion is come carries out Image semantic classification, feature extraction, image segmentation, post processing of image, image thinning correction, image comparison, the application of smart component is greatly improved the performance of product, improve efficiency, alleviate the burden of database server.
Accompanying drawing explanation
Fig. 1 is the structure connection diagram of the present invention；
Fig. 2 is comparison of the present invention, identification processing procedure block diagram；
Fig. 3 is the operational flowchart of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing and by specific embodiment, the invention will be further described, and following example are illustrative, are not determinate, it is impossible to limit protection scope of the present invention with this.
A kind of finger vein recognition terminal of banking system, including housing, infrared LEDs lamp, processor chips, ccd video camera and image pick-up card, housing is shaped with finger gathering sill, housing above finger gathering sill is installed near infrared ray LED, finger touch panel is installed in the bottom of finger gathering sill, this finger touch panel connects an image pick-up card, installing ccd video camera in just to the housing below finger touch panel, described ccd video camera, image pick-up card are all connected with the processor chips being arranged in housing.
And, the sidewall of housing is also shaped with USB communication interface, transmits for data.Rear wall at housing is shaped with power adaptor interface, for powering for this identification terminal.
Selected shell is molding wear-resistant temperature-resistant waterproof case.
Selected near infrared ray LED is specific wavelength infrared LEDs lamp.
Selected ccd video camera is for compensating steady light type ccd video camera.
Selected image pick-up card is anti-distortion digitized image capture card.
Selected intelligent processing method device (containing CPU) chip is the monocrystal silicon chip containing intelligent processor cascade, containing power transfer module on chip.
Selected communication interface is the USB communication interface of 3.0 or more highest version, and with compatible driver.
Present processor chip is as follows to the identifying processing step gathering image:
The first step: Image semantic classification
Pretreatment includes vein image gray scale normalization and image enhaucament.
(1) vein image gray scale normalization purpose is to eliminate when gathering because of the excessive impact brought to subsequent treatment of gradation of image difference, the present invention uses formula y=((x-min) * 255)/(max-min) to carry out gradation of image normalization, wherein x is original image gray value, y is the gray value after conversion, min is minimum gradation value in original image, and max is maximum gradation value in original image.
(2) the main purpose of image enhaucament is the image that a width is given, after treatment, the information of some needs in prominent image, weaken or remove some unwanted information, making result that certain application-specific to be more suitable for than original image.It is not meant to increase the information of original image, sometimes even can lose some information.But the result of image enhaucament can strengthen the identification ability to customizing messages, our feature interested in image is made to be enhanced.Use the contrast that histogram equalization carries out image to strengthen herein, and use gaussian filtering to carry out image denoising.
Second step: image is split
The purpose of image segmentation is to be split from finger areas by venous structures, and this step is the key that vein image processes.
Here, (this method is existing maturation method to we used NiBlack method, it is here application), this is that a kind of simple and effective local dynamic station closes value-based algorithm, the basic thought of this algorithm is to each point in image, in its r × r neighborhood, calculate average and the variance of pixel in neighborhood, then carry out binaryzation by equation below:
T (x, y)=m (x, y)+k*s (x, y)
3rd step: post processing of image
Image after segmentation has a lot of point, block distortion, it is necessary to removed by these noises, adopts medium filtering to process.
In addition also having breakpoint in image, hole occurs, it is also necessary to be modified processing.Considering that finger vena breakpoint occurs in horizontal direction more, we carry out the breakpoint joint of small distance by the method that first horizontal expansion carries out closed operation again.Hole then usable floor area elimination approach is purged.
4th step: image thinning and correction
(1) the effect refined is the skeleton extracting segmentation posterior vein structure, is the basis of feature extraction.Use the refined image of not single pixel that general condition thinning method obtains, it is necessary to use the method improved to remove unnecessary point further.
(2) there is also many discrete points, discrete lines and burr in the image after refinement, usable floor area elimination approach removes discrete point and discrete lines, additionally calculates the distance from end points to cross point, is considered as burr when lines are less than threshold value and removes.
5th step: image comparison, identification
Owing to the finger thickness of the acquisition time of finger vein image acquisition device, light intensity and individual is different, so the image collected has bigger difference on gray-scale map is distributed.Even if the gray-scale map that same person collects under different light conditions there is also certain difference.Due to above reason, in addition finger vena is thin and close, may lose characteristic point or introduce pseudo-random numbers generation, use merely such as end points in image processing process, the geometric properties such as cross point can reduce discrimination, therefore present invention employs HUShi Invariant Moment Method and carries out finger vena identification.
The moment characteristics main geometric properties of image-region, being also called geometric moment, having the invariant features of the characteristics such as rotation, translation, yardstick due to it, so being called again not bending moment.In image procossing, geometric invariant moment can represent object as an important feature, it is possible to image is carried out the operations such as classification by feature accordingly.
In the result of calculation of HuShi not bending moment formula, when threshold value is less than when determining value, two width pictures are a finger, i.e. comparison success；Otherwise not think it is the picture of a finger, i.e. comparison failure.
The operating process of this identification terminal is:
The vein image information that all individual or companies (specific people: the financial administrator) finger venous image of director of prior for banking system typing and the finger vein recognition terminal of banking system collect is compared.If the correct certification of comparison is passed through, have the right to handle required business by allowing this individual or company (specific people: financial administrator) director；If the failure of comparison erroneous authentication, any business operation by refusal this individual or company (specific people: financial administrator) director, also the operator of bank can be reminded to cause concern or refusal to give transacting business, and concrete operations flow process is as shown in Figure 3.
Above-described is only the preferred embodiment of the present invention, it is noted that for the person of ordinary skill of the art, under the premise without departing from inventive concept, it is also possible to making some deformation and improvement, these broadly fall into protection scope of the present invention.
Claims (8)
1. the finger vein recognition terminal of a banking system, including housing, infrared LEDs lamp, processor chips, and ccd video camera, housing is shaped with finger gathering sill, housing above finger gathering sill is installed near infrared ray LED, finger touch panel is installed in the bottom of finger gathering sill, it is characterized in that: this finger touch panel connects an image pick-up card, in just to the housing below finger touch panel, ccd video camera is installed, described ccd video camera, image pick-up card is all connected with the processor chips being arranged in housing, the sidewall of housing is shaped with USB communication interface, rear wall at housing is shaped with power adaptor interface.
2. the finger vein recognition terminal of banking system according to claim 1, it is characterised in that: described shell is molding wear-resistant temperature-resistant waterproof case.
3. the finger vein recognition terminal of banking system according to claim 1, it is characterised in that: described near infrared ray LED is the wavelength infrared LEDs lamp at 700-900nm.
4. the finger vein recognition terminal of banking system according to claim 1, it is characterised in that: described ccd video camera is for compensating steady light type ccd video camera.
5. the finger vein recognition terminal of banking system according to claim 1, it is characterised in that: described image pick-up card is anti-distortion digitized image capture card.
6. the finger vein recognition terminal of banking system according to claim 1, it is characterised in that: described processor chips are the chip containing CPU, and chip includes power transfer module.
7. the finger vein recognition terminal of banking system according to claim 1, it is characterised in that: described USB communication interface is the USB communication interface of 3.0 or more highest version, and with compatible driver.
8. the image processing method of the finger vein recognition terminal of a banking system according to claim 1, it is characterised in that: step is as follows:
(1) Image semantic classification: including gradation of image normalized and image enhancement processing, the formula that described image normalization processes is y=((x-min) * 255)/(max-min)；Described image enhancement processing adopts the contrast that histogram equalization carries out image to strengthen, and uses gaussian filtering to carry out image denoising；
(2) image segmentation: adopt NiBlack method；
(3) post processing of image: include noise remove and breakpoint, hole correcting process, described noise remove adopts medium filtering to process, described breakpoint, hole correcting process are the breakpoint joint that the method carrying out closed operation again by first horizontal expansion carries out small distance, and hole usable floor area elimination approach is purged；
(4) image thinning and correction: usable floor area elimination approach removes discrete point and discrete lines, additionally calculates the distance from end points to cross point, is considered as burr and removes when lines are less than threshold value；
(5) image comparison, identification: use HUShi Invariant Moment Method.
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| CN112085737A (en) * | 2020-07-31 | 2020-12-15 | 新绎健康科技有限公司 | Method and system for acquiring infrared blood vessel image enhanced image |
| CN112200168A (en) * | 2020-12-07 | 2021-01-08 | 北京电信易通信息技术股份有限公司 | Method and system for secure access of mobile storage device |
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| CN112085737A (en) * | 2020-07-31 | 2020-12-15 | 新绎健康科技有限公司 | Method and system for acquiring infrared blood vessel image enhanced image |
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