CN101627913A - Identity information identification method and identity information identification system - Google Patents

Identity information identification method and identity information identification system Download PDF

Info

Publication number
CN101627913A
CN101627913A CN200910109432A CN200910109432A CN101627913A CN 101627913 A CN101627913 A CN 101627913A CN 200910109432 A CN200910109432 A CN 200910109432A CN 200910109432 A CN200910109432 A CN 200910109432A CN 101627913 A CN101627913 A CN 101627913A
Authority
CN
China
Prior art keywords
palm
identity
centre
hand back
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN200910109432A
Other languages
Chinese (zh)
Other versions
CN101627913B (en
Inventor
杨文明
杨帆
廖庆敏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Graduate School Tsinghua University
Original Assignee
Shenzhen Graduate School Tsinghua University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Graduate School Tsinghua University filed Critical Shenzhen Graduate School Tsinghua University
Priority to CN2009101094325A priority Critical patent/CN101627913B/en
Publication of CN101627913A publication Critical patent/CN101627913A/en
Application granted granted Critical
Publication of CN101627913B publication Critical patent/CN101627913B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Collating Specific Patterns (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention provides an identity information identification method and an identity information identification system. The method comprises the following steps: supporting the palm: placing the palm to be identified on a palm-supporting device; obtaining hand back vein information: obtaining a palm vein image of the palm to be identified on the palm-supporting device; obtaining palm print information: obtaining a palm print image of the palm to be identified on the palm-supporting device by a palm print information obtaining device aligned to the other side of the palm-supporting device; processing and identifying an identity: respectively processing and obtaining corresponding hand back vein texture information and palm print texture information; constructing an identity characteristic vector according to the hand back vein texture information and the palm print texture information; and comparing the identity characteristic vector with registered sample characteristic vectors preliminarily stored in an identity characteristic vector library to judge the identity of a user.

Description

A kind of identity information recognition methods and system thereof
Technical field
The present invention relates to a kind of identity information recognition methods and system thereof, relate in particular to a kind of collection live body vein and palmmprint and carry out identity information recognition methods and system thereof.
Background technology
Now, the research of human body biological characteristics recognition technology and product development have been subjected to the attention of numerous scientific research institutions and enterprise, a large amount of research concentrates on the bio-identification based on hand-characteristic, is that 200710035239.2 fingerprint recognition system, number of patent application are that 200810217350.8 the identification of finger back arthrosis stricture of vagina, number of patent application are that 200910013851.9 the identification of finger vein, number of patent application are 200710144946.4 palmmprint identification and vena metacarpea identification etc. as number of patent application.Wherein, recognition technology that is based on vein pattern and product of greatest concern.Vein pattern is compared with other biological features such as people's face, fingerprints has following several having a few: 1) vein is the live body feature, is difficult to forge; 2) vein is under the epiderm skin, and good stability is difficult for sustaining damage; 3) be not vulnerable to the influence of external environment illumination; 4) be different from people's face, vein does not have expression shape change, and feature mode is fixed; 5) to compare the imaging device volume little with recognition of face equipment.Therefore, vein identification has become identity identifying technology promising, the most of greatest concern at present.
Yet, employed feature of existing vein identification technology such as number of patent application are that 200910013851.9 finger vena and number of patent application are that 200710144946.4 vena metacarpea exists common shortcoming, be that these two kinds of veins all are in subcutaneous than the depths, and vein depth profile of living in is also inhomogeneous, the vein image contrast of utilizing existing near-infrared image forming apparatus to obtain is low, vein edge and background intersection light and shade intensity of variation are low, the venous width and the trend and unintelligible that distributes, cause the rapid increasing of vein extraction algorithm difficulty like this, finger vein and vena metacarpea that the result extracts from image are not accurate enough, smudgy, have a strong impact on the accuracy rate of identification and limited image-forming condition significantly, make the suitability of product on market significantly reduce.In addition, accidental injury and physiology pathological changes may cause the significant change of biological characteristic, and cause the single mode identity authorization system often to refuse to know legal users.
Summary of the invention
Technical problem to be solved by this invention provides a kind of simple and easy to do, and can obtain the method and system more accurately user's identity discerned.
The objective of the invention is to be achieved through the following technical solutions:
A kind of identity information recognition methods is characterized in that, comprises the steps:
Palm supports step: place and wait to distinguish the palm of identity on the palm bracing or strutting arrangement;
Hand back vein information obtaining step: aim at the hand back vein information acquisition device that a side of described palm bracing or strutting arrangement is provided with, obtain and be placed on the image of hand back vein that treating on the described palm bracing or strutting arrangement distinguished the palm of identity;
Centre of the palm palmmprint information obtaining step: aim at the centre of the palm palmmprint information acquisition device that the opposite side of described palm bracing or strutting arrangement is provided with, obtain and be placed on the image of centre of the palm palmmprint that treating on the described palm bracing or strutting arrangement distinguished the palm of identity;
Identity processing and identification step: the identity processing and identification device that is connected to described hand back vein information acquisition device and centre of the palm palmmprint information acquisition device outfan, handle and obtain the texture information of corresponding hand back vein texture information and centre of the palm palmmprint respectively, according to the texture information structure identity characteristic vector of hand back vein texture information and centre of the palm palmmprint, contrast is stored in the registration sample characteristics vector in identity characteristic vector storehouse in advance to judge user's identity again.
Find that through the research contrast same individual vein image and palmprint image have clear and definite geometrical relationship one to one, promptly each pixel on the vein image all has and only has a pixel corresponding with it on palmprint image.Adopt technique scheme, will obtain the hand back vein distribution characteristics and the palm textural characteristics of the same hand, and obtain corresponding identity, so just improved the accuracy that detects greatly according to this corresponding relation.
Preferably, described identity processing and identification step comprises the steps:
Vein texture treatment step: respectively to the image of described centre of the palm palmmprint and the interesting image regions of described hand back vein, carry out the brightness normalized, adopt the dividing method of two yardstick local thresholds again, with texture information and the hand back vein texture information that obtains corresponding centre of the palm palmmprint respectively; Then,
The thinning processing step: texture information and hand back vein texture information to described described respectively centre of the palm palmmprint carry out binary conversion treatment; Then,
Feature Fusion step: according to geometrical correspondence, the texture information of described centre of the palm palmmprint and hand back vein texture information are carried out structurized textural characteristics merge, to obtain the identity characteristic vector that intersects point set in length and breadth of double texture information that comprises described centre of the palm palmmprint and hand back vein texture information; Then,
Identification step relatively: the registration sample characteristics vector similarity in more described identity characteristic vector and the described identity characteristic vector storehouse, find registration sample characteristics vector that similarity is mated promptly to judge corresponding user's identity.
Owing to further adopted abovementioned technology, the further texture information of optimization centre of the palm palmmprint and hand back vein texture information, and can measure at specific area-of-interest, with the precision of raising detection, and the further error that may occur that reduces when discerning.
Preferably, the dividing method of described pair of yardstick local threshold comprises the steps:
The first fiducial value step: with pending pixel on the image of the image of described centre of the palm palmmprint or hand back vein is the center, obtains the first fiducial value M in neighborhood yardstick 17 * 17 pixel coverages 1(x, y),
M 1 ( x , y ) = 255 if ( abs ( I ( x , y ) - mean 1 ) < k&sigma; 1 0 else
Wherein, x, y are respectively the horizontal vertical coordinates of pending pixel, and (x y) is described pending pixel brightness value to I, degree mean 1Be the brightness average of pixel in this 17 * 17 neighborhood of pixels, σ 1Be the standard deviation of the brightness of pixel in this 17 * 17 neighborhood of pixels, k is a constant coefficient;
The second fiducial value step: with this pending pixel is the center, obtains the first fiducial value M in neighborhood yardstick 17 * 17 pixel coverages 2(x, y),
M 2 ( x , y ) = 255 if ( abs ( I ( x , y ) - mean 2 ) < k&sigma; 2 0 else
Wherein, degree mean 2Be to be the center with pending pixel, the average of pixel intensity in 33 * 33 neighborhood of pixels, σ 2Be to be the center with pending pixel, the standard deviation of the brightness of pixel in 33 * 33 neighborhood of pixels;
Compare extraction step: the texture information or the hand back vein texture information M that obtain corresponding centre of the palm palmmprint Out(x, y),
M out ( x , y ) = 255 if ( M 1 ( x , y ) = M 2 ( x , y ) = 255 ) 0 else .
Furthermore, in the dividing method of described pair of yardstick local threshold, the image of the corresponding described centre of the palm of difference palmmprint and the image of hand back vein, described constant coefficient k value difference.
Preferably, described Feature Fusion step comprises the steps:
The texture information of the centre of the palm palmmprint of process thinning processing step process is M Out-palm, be M through the hand back vein texture information of thinning processing step process Out-vein, handle and obtain described M Out-palmAnd M Out-veinFeature occur simultaneously and to be identity characteristic vector M Cross(x, y),
M cross ( x , y ) = 255 if ( M out - vein ( x , y ) = M out - plam ( x , y ) = 255 ) 0 else .
Like this, described identity characteristic vector is a discrete intersection point set.
Preferably, described hand back vein information obtaining step comprises the steps:
The infrared light irradiating step: the infrared light supply irradiation is positioned over the hands back of the body of the palm on the described palm bracing or strutting arrangement;
Image-forming step: photoelectric converting device will by with aglow outer filter filtering the picture of this back of the hand be converted into the image of the hand back vein of corresponding electrical signal form.
The existing wavelength that studies show that is stronger to the penetration power of tissue at the near infrared spectrum of 700-900nm, and the absorbance of the hemoglobin in the blood of human body is also higher simultaneously, and like this, the image medium-sized vein part brightness of being gathered is lower.Can further improve the image quality of the image medium-sized vein texture of hand back vein, further improve the ability of whole technical proposal identification.
Furthermore, to send the light wavelength scope be 700 to 900nm to described infrared light supply; Describedly be lower than 700nm and be higher than the spectrum of 900nm with aglow outer filter filtering wavelength.
Preferably, described infrared light supply is double infrared transmitting tube array, tiltedly is provided with for the both sides of the back of the hand of the described palm of waiting to distinguish identity respectively.
Owing to further take abovementioned technology, guaranteed for uniformity, the stability of palm illumination and obtained high-quality vein image.
Alleged the back of the hand part among the present invention, for staff since four refer to roots to the wrist with the corresponding part of palm.Compare with vena metacarpea with finger vena, hand back vein is in to be close under the back of the hand epidermis, need not the distribution of promptly visible its mainline of infrared radiation, if be aided with the near-infrared light source irradiation again, just obtains vein image very clearly easily.
The present invention also provides a kind of identity information recognition system, comprising:
The palm bracing or strutting arrangement is used to place the hands palm of waiting to distinguish identity;
The hand back vein information acquisition device, a side setting of aiming at described palm bracing or strutting arrangement is used to obtain and is placed on the image of hand back vein that treating on the described palm bracing or strutting arrangement distinguished the palm of identity;
Centre of the palm palmmprint information acquisition device, the opposite side setting of aiming at described palm bracing or strutting arrangement is used to obtain and is placed on the image of centre of the palm palmmprint that treating on the described palm bracing or strutting arrangement distinguished the palm of identity;
Identity processing and identification device, it is a calculating treatmenting equipment, be connected to described hand back vein information acquisition device and centre of the palm palmmprint information acquisition device outfan, to obtain the texture information of corresponding hand back vein texture information and centre of the palm palmmprint respectively, according to the texture information structure identity characteristic vector of hand back vein texture information and centre of the palm palmmprint, contrast the identity that the user is judged in its identity characteristic vector storehouse that has again.
Preferably, described palm bracing or strutting arrangement comprises: be used to support the palm of waiting to distinguish identity, be the Zhi Qiao of a covering of the fan shape, and the covering of the fan end arc that is set in turn in described Zhi Qiao, respectively with forefinger, middle finger, the third finger and the little finger of toe of the palm of waiting to distinguish identity between be connected the corresponding position of root, first stuck point, second stuck point and the 3rd stuck point.
Owing to further adopt abovementioned technology, can determine the precision of its measurement of raising that can be more simple and easy to do to the placement location that waiting of being put into distinguished the palm of identity.
Compared with prior art the invention has the advantages that, owing to be two kinds of different biological characteristics-live body features and the non-living body feature of obtaining same physiological location simultaneously, development and utilization hand-characteristic information better, overcome traditional single finger vein, vena metacarpea image contrast low, be difficult to accurately extract the venous problem, and be fused to main thought, anti-forgery ability of raising system and level of security with the structuring of two category features.
Description of drawings
Fig. 1 is the structural representation of a kind of embodiment of identity information recognition system of the present invention;
Fig. 2 is the structural representation of the another kind of embodiment of identity information recognition system of the present invention;
Fig. 3 is the structural representation of palm bracing or strutting arrangement among the another kind of embodiment of identity information recognition system of the present invention;
Fig. 4 is the schematic flow sheet of a kind of embodiment of identity information recognition methods of the present invention.
The specific embodiment
The invention will be further described below in conjunction with accompanying drawing and preferred embodiment.
As shown in Figure 1, a kind of identity information recognition system comprises:
The palm bracing or strutting arrangement is used to place the hands palm of waiting to distinguish identity;
The hand back vein information acquisition device, a side setting of aiming at described palm bracing or strutting arrangement is used to obtain and is placed on the image of hand back vein that treating on the described palm bracing or strutting arrangement distinguished the palm of identity;
Centre of the palm palmmprint information acquisition device, the opposite side setting of aiming at described palm bracing or strutting arrangement is used to obtain and is placed on the image of centre of the palm palmmprint that treating on the described palm bracing or strutting arrangement distinguished the palm of identity;
Identity processing and identification device, be connected to described hand back vein information acquisition device and centre of the palm palmmprint information acquisition device outfan, to obtain the texture information of corresponding hand back vein texture information and centre of the palm palmmprint respectively, according to the texture information structure identity characteristic vector of hand back vein texture information and centre of the palm palmmprint, contrast the identity that the user is judged in its identity characteristic vector storehouse that has again.
The identity information recognition system more specifically an embodiment referring to shown in Figure 2,
Wherein, DV 1, DV 2, near-infrared light source 3, data communication interface 4, palm bracing or strutting arrangement 5 and computer 6, infrared filter 7, visible light source 8 and casing 9.
DV 1 and DV 22 are used for obtaining respectively the image of hand back vein and the image of centre of the palm palmmprint.The distributed depth of the content of hemoglobin, blood vessel is directly related in vein imaging quality and the venous blood.The existing wavelength that studies show that is stronger to the penetration power of tissue at the near infrared spectrum of 700-900nm, and the absorbance of the hemoglobin in the blood of human body is also higher simultaneously, and like this, the image medium-sized vein part brightness of being gathered is lower.Adopting wavelength among this embodiment is that the bar shaped infrared transmitting tube array of 880nm is as infrared light supply.Infrared light supply 3 is installed above the both sides of the back of the hand of the palm of waiting to distinguish identity, has guaranteed for uniformity, the stability of palm illumination and obtains the image of high-quality hand back vein.
DV 1 and DV 2 are used for gathering the image of hand back vein and the image of centre of the palm palmmprint respectively, and the image data transmission of obtaining by data communication interface 4 is in computer 6.Data communication interface 4 can select to adopt PCI, IEEE1394, USB or wireless transceiver to realize information transmission with computer 6.
Identity processing and identification device is computer 6, can select to adopt ordinary PC or embedded system.
Infrared filter 7 is used for the ambient light interference beyond the filtering near infrared band, to guarantee to obtain collection effect preferably; Visible light source 8 is used for that imaging provides stable illumination condition to palmmprint, casing 9 as carrying and fixing above-mentioned each ingredient carrier, also have the effect of camera bellows simultaneously.
When the image acquisition of image that carries out concrete hand back vein and centre of the palm palmmprint, the palm that the user will distinguish identity stretch naturally and horizontal positioned to palm mounting table 5 as the palm bracing or strutting arrangement, the back of the hand upwards, the centre of the palm is downward.
See also accompanying drawing 3, the palm bracing or strutting arrangement comprises: be used to support the palm of waiting to distinguish identity, it is a bridge 10 of a covering of the fan shape, and the covering of the fan end arc that is set in turn in described Zhi Qiao, respectively with forefinger, middle finger, the third finger and the little finger of toe of the palm of waiting to distinguish identity between be connected the corresponding position of root, first stuck point 11, second stuck point 12 and the 3rd stuck point 13.
With the left hand is example, and the cylinder with reference to Fig. 3 should make first stuck point 11, second stuck point 12 and the 3rd stuck point 13 be respectively to be in the height at little finger and nameless root, nameless and middle finger root, middle finger and forefinger root place is used for locating finger root.
In the flow chart of identity information recognition methods as shown in Figure 4, also increased the identity characteristic vector of the identity information of gathering all registered users, promptly registered the sample characteristics vector, to obtain the registration process in identity characteristic vector storehouse, its step is as follows:
Step 1 is utilizing image capture device to carry out the image acquisition of the image and the centre of the palm palmmprint of hand back vein.
Step 2 is carried out the area-of-interest extraction to the image of hand back vein and the image of centre of the palm palmmprint respectively.Owing to have the fixedly localized stuck point of palm on the palm bracing or strutting arrangement, simultaneously, stuck point has specific image information again, like this according to the position of stuck point in image as according to extracting the region of interest area image of regular length and width respectively, as the 50th pixel begins, begins to get the image of 256 * 256 pixels as area-of-interest from the 20th pixel of stuck point 1 left from stuck point 1 below.
Step 3, respectively the image of described centre of the palm palmmprint and the image of described hand back vein are carried out the brightness normalized, adopt the dividing method of two yardstick local thresholds again, with texture information and the hand back vein texture information that obtains corresponding centre of the palm palmmprint respectively.
Step 4 is carried out binary conversion treatment to the texture information and the hand back vein texture information of described described respectively centre of the palm palmmprint, obtains the textural characteristics of single pixel wide.
Step 5 is carried out structurized fusion to the texture information and the hand back vein texture information of centre of the palm palmmprint, generates the feature point set of intersection in length and breadth that comprises two class texture informations simultaneously.
Step 6, feature extraction, in fact the feature point set of intersection in length and breadth that above-mentioned steps 5 is obtained is arranged as a characteristic vector according to a graded.The number of centrostigma of setting up an office is n, and then vectorial dimension is 2n, and each dimension promptly is the horizontal stroke or the vertical coordinate of a point.Register the sample characteristics vector as characterizing the feature that the user is different from other user with this, store and set up identity characteristic vector storehouse.
The flow process of identity information recognition methods comprises the steps:
Step 1 is utilizing image capture device to carry out the image acquisition of the image and the centre of the palm palmmprint of hand back vein.
Step 2 is carried out the area-of-interest extraction to the image of hand back vein and the image of centre of the palm palmmprint respectively.Owing to have the fixedly localized stuck point of palm on the palm bracing or strutting arrangement, simultaneously, stuck point has specific image information again, like this according to the position of stuck point in image as according to extracting the region of interest area image of regular length and width respectively, as the 50th pixel begins, begins to get the image of 256 * 256 pixels as area-of-interest from the 20th pixel of stuck point 1 left from stuck point 1 below.
Step 3, respectively the image of described centre of the palm palmmprint and the image of described hand back vein are carried out the brightness normalized, adopt the dividing method of two yardstick local thresholds again, with texture information and the hand back vein texture information that obtains corresponding centre of the palm palmmprint respectively.
Step 4 is carried out binary conversion treatment to the texture information and the hand back vein texture information of described described respectively centre of the palm palmmprint, obtains the textural characteristics of single pixel wide.
Step 5 is carried out structurized fusion to the texture information and the hand back vein texture information of centre of the palm palmmprint, generates the feature point set of intersection in length and breadth that comprises two class texture informations simultaneously.
Step 6, feature extraction, in fact the feature point set of intersection in length and breadth that above-mentioned steps 5 is obtained is arranged as a characteristic vector according to a graded, is the identity characteristic vector of the palm of waiting to distinguish identity;
Step 7 is carried out similarity measure one by one and is calculated waiting to distinguish the identity characteristic vector of palm of identity and the sample in the identity characteristic vector storehouse, and specific implementation can adopt the hausdauf distance measure, also can adopt other class distance measures.If result of calculation is less than pre-set threshold, then authentication success is promptly judged this user to be certified and is same user by matched sample, the validated user that genus has been authorized; Otherwise authentification failure is considered as the disabled user.
Above content be in conjunction with concrete preferred implementation to further describing that the present invention did, can not assert that concrete enforcement of the present invention is confined to these explanations.For the general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, can also make some simple deduction or replace, all should be considered as belonging to protection scope of the present invention.

Claims (10)

1, a kind of identity information recognition methods is characterized in that, comprises the steps:
Palm supports step: place and wait to distinguish the palm of identity on the palm bracing or strutting arrangement;
Hand back vein information obtaining step: aim at the hand back vein information acquisition device that a side of described palm bracing or strutting arrangement is provided with, obtain and be placed on the image of hand back vein that treating on the described palm bracing or strutting arrangement distinguished the palm of identity;
Centre of the palm palmmprint information obtaining step: aim at the centre of the palm palmmprint information acquisition device that the opposite side of described palm bracing or strutting arrangement is provided with, obtain and be placed on the image of centre of the palm palmmprint that treating on the described palm bracing or strutting arrangement distinguished the palm of identity;
Identity processing and identification step: identity processing and identification device is handled the image of described hand back vein and the image of centre of the palm palmmprint respectively, to obtain the texture information of corresponding hand back vein texture information and centre of the palm palmmprint, according to the texture information structure identity characteristic vector of hand back vein texture information and centre of the palm palmmprint, contrast is stored in the registration sample characteristics vector in identity characteristic vector storehouse in advance to judge user's identity again.
2, identity information recognition methods as claimed in claim 1 is characterized in that, described identity processing and identification step comprises the steps:
Vein texture treatment step: respectively to area-of-interest in the image of the image of described centre of the palm palmmprint and described hand back vein, carry out the brightness normalized, adopt the dividing method of two yardstick local thresholds again, with texture information and the hand back vein texture information that obtains corresponding centre of the palm palmmprint respectively; Then,
The thinning processing step: texture information and hand back vein texture information to described described respectively centre of the palm palmmprint carry out binary conversion treatment; Then,
Feature Fusion step: according to geometrical correspondence, the texture information of described centre of the palm palmmprint and hand back vein texture information are carried out structurized textural characteristics merge, to obtain the identity characteristic vector that intersects point set in length and breadth of double texture information that comprises described centre of the palm palmmprint and hand back vein texture information; Then,
Identification step relatively: the registration sample characteristics vector similarity in more described identity characteristic vector and the described identity characteristic vector storehouse, find registration sample characteristics vector that similarity is mated promptly to judge corresponding user's identity.
3, identity information recognition methods as claimed in claim 2 is characterized in that, the dividing method of described pair of yardstick local threshold comprises the steps:
The first fiducial value step: with pending pixel on the image of the image of described centre of the palm palmmprint or hand back vein is the center, obtains the first fiducial value M in neighborhood yardstick P * P pixel coverage 1(x, y), wherein, the P natural number;
M 1 ( x , y ) = 255 if ( abs ( I ( x , y ) - mean 1 ) < k&sigma; 1 0 else
Wherein, x, y are respectively the horizontal vertical coordinates of pending pixel, and (x y) is described pending pixel brightness value to I, degree mean 1Be the brightness average of pixel in this P * P neighborhood of pixels, σ 1Be the standard deviation of the brightness of pixel in this P * P neighborhood of pixels, k is a constant coefficient;
The second fiducial value step: with this pending pixel is the center, obtains the first fiducial value M in neighborhood yardstick P * P pixel coverage 2(x, y),
M 2 ( x , y ) = 255 if ( abs ( I ( x , y ) - mean 2 ) < k&sigma; 2 0 else
Wherein, degree mean 2Be to be the center with pending pixel, the average of pixel intensity in Q * Q neighborhood of pixels, σ 2Be to be the center with pending pixel, the standard deviation of the brightness of pixel in Q * Q neighborhood of pixels, wherein, Q is the natural number greater than P;
Compare extraction step: the texture information or the hand back vein texture information M that obtain corresponding centre of the palm palmmprint Out(x, y),
M out ( x , y ) = 255 if ( M 1 ( x , y ) = M 2 ( x , y ) = 255 ) 0 else .
4, identity information recognition methods as claimed in claim 3 is characterized in that, in the dividing method of described pair of yardstick local threshold, and the image of the corresponding described centre of the palm of difference palmmprint and the image of hand back vein, described constant coefficient k value difference.
5, as claim 3 or 4 described identity information recognition methodss, it is characterized in that described Feature Fusion step comprises the steps:
The texture information of the centre of the palm palmmprint of process thinning processing step process is M Out-palm, be M through the hand back vein texture information of thinning processing step process Out-vein, handle and obtain described M Out-palmAnd M Out-veinFeature occur simultaneously and to be identity characteristic vector M Cross(x, y),
M cross ( x , y ) = 255 if ( M out - vein ( x , y ) = M out - palm ( x , y ) = 255 ) 0 else .
6, identity information recognition methods as claimed in claim 1 is characterized in that, described hand back vein information obtaining step comprises the steps:
The infrared light irradiating step: the infrared light supply irradiation is positioned over the hands back of the body of the palm on the described palm bracing or strutting arrangement;
Image-forming step: photoelectric converting device will by with aglow outer filter filtering the picture of this back of the hand be converted into the image of the hand back vein of corresponding electrical signal form.
7, identity information recognition methods as claimed in claim 6 is characterized in that, it is 700 to 900nm that described infrared light supply sends the light wavelength scope; Describedly be lower than 700nm and be higher than the spectrum of 900nm with aglow outer filter filtering wavelength.
As claim 6 or 7 described identity information recognition methodss, it is characterized in that 8, described infrared light supply is double infrared transmitting tube array, tiltedly be provided with respectively for the both sides of the back of the hand of the described palm of waiting to distinguish identity.
9, a kind of identity information recognition system is characterized in that, comprising:
The palm bracing or strutting arrangement is used to place the hands palm of waiting to distinguish identity;
The hand back vein information acquisition device, a side setting of aiming at described palm bracing or strutting arrangement is used to obtain and is placed on the image of hand back vein that treating on the described palm bracing or strutting arrangement distinguished the palm of identity;
Centre of the palm palmmprint information acquisition device, the opposite side setting of aiming at described palm bracing or strutting arrangement is used to obtain and is placed on the image of centre of the palm palmmprint that treating on the described palm bracing or strutting arrangement distinguished the palm of identity;
Identity processing and identification device, be connected to described hand back vein information acquisition device and centre of the palm palmmprint information acquisition device outfan, to obtain the texture information of corresponding hand back vein texture information and centre of the palm palmmprint respectively, according to the texture information structure identity characteristic vector of hand back vein texture information and centre of the palm palmmprint, contrast the identity that the user is judged in its identity characteristic vector storehouse that has again.
10, identity information recognition system as claimed in claim 9, it is characterized in that, described palm bracing or strutting arrangement comprises: be used to support the palm of waiting to distinguish identity, be the Zhi Qiao of a covering of the fan shape, and the covering of the fan end arc that is set in turn in described Zhi Qiao, respectively with forefinger, middle finger, the third finger and the little finger of toe of the palm of waiting to distinguish identity between be connected the corresponding position of root, first stuck point, second stuck point and the 3rd stuck point.
CN2009101094325A 2009-08-18 2009-08-18 Identity information identification method and identity information identification system Active CN101627913B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2009101094325A CN101627913B (en) 2009-08-18 2009-08-18 Identity information identification method and identity information identification system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2009101094325A CN101627913B (en) 2009-08-18 2009-08-18 Identity information identification method and identity information identification system

Publications (2)

Publication Number Publication Date
CN101627913A true CN101627913A (en) 2010-01-20
CN101627913B CN101627913B (en) 2011-06-08

Family

ID=41573312

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2009101094325A Active CN101627913B (en) 2009-08-18 2009-08-18 Identity information identification method and identity information identification system

Country Status (1)

Country Link
CN (1) CN101627913B (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102129552A (en) * 2011-03-03 2011-07-20 哈尔滨工业大学 Integrated noncontact-type hand characteristic image acquisition system
CN102254165A (en) * 2011-08-12 2011-11-23 北方工业大学 Hand back vein identification method based on fusion of structural coding features and texture coding features
CN104599048A (en) * 2014-12-31 2015-05-06 贵州精英天成科技股份有限公司 Plasma donor identity recognition and online checking control method for plasma collection station
CN104636731A (en) * 2015-02-12 2015-05-20 张丽琴 Authentication device and authentication method combining finger vein recognition with wrist vein recognition and fingernail recognition
CN105678876A (en) * 2016-01-07 2016-06-15 天津理工大学 Intelligent access control system based on hand back superficial vein recognition
CN106203322A (en) * 2016-07-05 2016-12-07 西安交通大学 A kind of identity authorization system based on hand back vein and palmmprint fusion image and method
CN107066988A (en) * 2017-05-02 2017-08-18 湖南大拓三维数字技术有限公司 A kind of palm infrared body temperature measurement and identification system
CN107256395A (en) * 2017-06-12 2017-10-17 成都芯软科技股份公司 Vena metacarpea extracting method and device
CN109948481A (en) * 2019-03-07 2019-06-28 惠州学院 A kind of passive human body recognition method based on the sampling of narrow radio frequency link
CN110008676A (en) * 2019-04-02 2019-07-12 合肥智查数据科技有限公司 A kind of personnel's multidimensional challenge and true identity discrimination system and method
CN110298944A (en) * 2019-06-13 2019-10-01 Oppo(重庆)智能科技有限公司 Vein unlocking method and vein tripper

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100453040C (en) * 2007-01-23 2009-01-21 天津理工大学 Identity recognition instrument based on characteristics of subcutaneous vein of dorsum of hand and recognition method
CN101196987B (en) * 2007-12-25 2011-05-25 哈尔滨工业大学 On-line palm print, palm vein image personal identification method and its special capturing instrument

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102129552A (en) * 2011-03-03 2011-07-20 哈尔滨工业大学 Integrated noncontact-type hand characteristic image acquisition system
CN102254165A (en) * 2011-08-12 2011-11-23 北方工业大学 Hand back vein identification method based on fusion of structural coding features and texture coding features
CN104599048B (en) * 2014-12-31 2017-11-28 贵州精英天成科技股份有限公司 A kind of blood-collecting station Plasma donors identification and the online method for examining card management and control
CN104599048A (en) * 2014-12-31 2015-05-06 贵州精英天成科技股份有限公司 Plasma donor identity recognition and online checking control method for plasma collection station
CN104636731A (en) * 2015-02-12 2015-05-20 张丽琴 Authentication device and authentication method combining finger vein recognition with wrist vein recognition and fingernail recognition
WO2016127765A1 (en) * 2015-02-12 2016-08-18 张丽琴 Authentication device and authentication method combining finger vein recognition with wrist vein recognition and fingernail recognition
CN105678876A (en) * 2016-01-07 2016-06-15 天津理工大学 Intelligent access control system based on hand back superficial vein recognition
CN106203322A (en) * 2016-07-05 2016-12-07 西安交通大学 A kind of identity authorization system based on hand back vein and palmmprint fusion image and method
CN107066988A (en) * 2017-05-02 2017-08-18 湖南大拓三维数字技术有限公司 A kind of palm infrared body temperature measurement and identification system
CN107256395A (en) * 2017-06-12 2017-10-17 成都芯软科技股份公司 Vena metacarpea extracting method and device
CN109948481A (en) * 2019-03-07 2019-06-28 惠州学院 A kind of passive human body recognition method based on the sampling of narrow radio frequency link
CN109948481B (en) * 2019-03-07 2024-02-02 惠州学院 Passive human body identification method based on narrowband radio frequency link sampling
CN110008676A (en) * 2019-04-02 2019-07-12 合肥智查数据科技有限公司 A kind of personnel's multidimensional challenge and true identity discrimination system and method
CN110008676B (en) * 2019-04-02 2022-09-16 合肥智查数据科技有限公司 System and method for multi-dimensional identity checking and real identity discrimination of personnel
CN110298944A (en) * 2019-06-13 2019-10-01 Oppo(重庆)智能科技有限公司 Vein unlocking method and vein tripper
CN110298944B (en) * 2019-06-13 2021-08-10 Oppo(重庆)智能科技有限公司 Vein unlocking method and vein unlocking device

Also Published As

Publication number Publication date
CN101627913B (en) 2011-06-08

Similar Documents

Publication Publication Date Title
CN101627913B (en) Identity information identification method and identity information identification system
Lee A novel biometric system based on palm vein image
Han et al. Palm vein recognition using adaptive Gabor filter
Wang et al. Near-and far-infrared imaging for vein pattern biometrics
CN101539995A (en) Imaging device based on vein pattern and backside pattern of finger and multimode identity authentication method
Wang et al. Infrared imaging of hand vein patterns for biometric purposes
Kanhangad et al. A unified framework for contactless hand verification
CN101251889B (en) Personal identification method and near-infrared image forming apparatus based on palm vena and palm print
Zhang et al. A palm vein recognition system
US7884327B2 (en) Vein imaging apparatus, vein imaging method and vein authentication apparatus
Kauba et al. Focussing the beam-a new laser illumination based data set providing insights to finger-vein recognition
CN102402679A (en) Non-contact type palm print and palm vein recognition system
KR20110063679A (en) A vein pattern recognition based biometric system and methods thereof
CN105760841B (en) Identity recognition method and system
CN102542242B (en) The biological characteristic area positioning method and device of contactless collection image
CN102073843A (en) Non-contact rapid hand multimodal information fusion identification method
CN102184387A (en) Finger vein authentication system
CN111462379A (en) Access control management method, system and medium containing palm vein and face recognition
CN102117404A (en) Reflective finger vein feature acquisition device and personal identity authentication method thereof
CN107358185B (en) Palm print and palm vein image-recognizing method and device based on topological analysis
CN107256395A (en) Vena metacarpea extracting method and device
CN106473751A (en) Palm blood vessel imaging based on arrayed ultrasonic sensor and identifying device and its imaging method
CN102945363B (en) Finger vein image acquisition device capable of automatically adjusting irradiation light intensity and acquisition method thereof
CN106778168A (en) The personal identification method of Wearable device, device and Wearable device
CN107481001A (en) A kind of mobile-payment system based on vein identification technology and wearable smart machine

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant