CN110110635A - Contactless finger vein identification device and its recognition methods - Google Patents

Contactless finger vein identification device and its recognition methods Download PDF

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Publication number
CN110110635A
CN110110635A CN201910347936.4A CN201910347936A CN110110635A CN 110110635 A CN110110635 A CN 110110635A CN 201910347936 A CN201910347936 A CN 201910347936A CN 110110635 A CN110110635 A CN 110110635A
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image
vein
finger
identification
camera unit
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吴松
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Shanghai Xinling Technology Co Ltd
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Shanghai Xinling Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/14Vascular patterns

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses contactless finger vein identification devices, refer to that vein identification device includes referring to hand vein recognition analysis module, high-speed camera unit and control processing module, control processing module is connect with high-speed camera unit and finger hand vein recognition analysis module respectively, and high-speed camera unit can carry out continuing shooting to the identification region of vein identification device is referred to;And contactless finger vein identification method.The present invention by setting independently of the high-speed camera unit for referring to hand vein recognition analysis module continuously take pictures or the combination of infrared distance sensing device and high-speed camera unit will be sent to control processing module into the object information of identification region, control processing module further according to acquisition information it is determined whether to enable refer to hand vein recognition analysis module method, it may be implemented to refer to hand vein recognition analysis module with non-contact unlatching, reduce bacterium, the cross infection of virus, reduce the problems such as influencing accuracy of identification because of the shade that the abrasion of identification region or dirty accumulation are formed, improve user's operation experience.

Description

Contactless finger vein identification device and its recognition methods
Technical field
The present invention relates to refer to vein identification technology field, specifically a kind of contactless finger vein identification device and its identification Method.
Background technique
Finger vena identification is the light that specific wavelength can be absorbed according to the blood flowed in human finger, and is used special Determine wavelength light opponent and refer to be irradiated, the clear image of finger vena can be obtained.Since finger vena is inside organism Information has uniqueness and non-reproduction, and finger vena identification uses living body authentication technology, so safety is very high. In recent years, the management of safe operation of personal information becomes particularly important, biological identification technology highlight value bank, social security, The fields such as lockset obtain to have and widely paying close attention to.Refer to vein identification technology using this intrinsic scientific feature, it can be achieved that right The image of acquisition is analyzed, is handled, to obtain the biological characteristic of finger vena, then the finger vein features information that will be obtained It is compared with the finger vein features of registration in advance, to confirm the identity of service object.
Existing finger vein identification device is started by the way of the physical button of contact or hand capacity, When finger be placed on refer to vein identification device identification region when, by pressing identification region in physical button or with identification Capacitive feedback after the contact of region, refers to that vein identification device just will start.The Starting mode of contact can because more person-times, repeatedly Several Contact recognition regions, influences the hygienic conditions in identification region, such as will cause the cross infection of bacterium, virus;And More person-times, multiple several touch recognition region, shade that the abrasion or dirty accumulation for being likely to result in identification region are formed and shadow Situations such as ringing accuracy of identification.
Summary of the invention
In view of this, it is an object of the present invention to provide a kind of contactless finger vein identification device and its recognition methods.
In order to solve the above-mentioned technical problem, the technical scheme is that
Contactless finger vein identification device refers to that vein identification device includes referring to hand vein recognition analysis module, high-speed camera unit With control processing module, the control processing module respectively with the high-speed camera unit and the finger hand vein recognition analysis module Connection, the high-speed camera unit can carry out continuing shooting to the identification region for referring to vein identification device.
Preferably, it is additionally provided with infrared distance sensing device on the high-speed camera unit, whether has object for identification Body enters identification region.
Contactless finger vein identification method one, it is described non-contact using above-mentioned contactless finger vein identification device Formula refers to that vein identification method includes:
(1) high-speed camera unit obtains the figure of one of them with the frequency of N ms to referring to that hand vein recognition region is persistently taken pictures As being image one;
(2) image one is sent in control processing module and is analyzed, and carries out pair with the pre-set level in control processing module Than the pre-set level includes pixel number, gray scale, resolution ratio and aberration rate;
(3) when pixel number, gray scale, resolution ratio and the aberration rate in image one are all in the range of pre-set level, at the control Reason module sends image one in the fingers hand vein recognition analysis module, and to refer to that hand vein recognition analysis module refer to quiet for unlatching Arteries and veins identification;
(4) when the pixel number in image one, gray scale, respectively rate and aberration rate one of them or multinomial not in the range of pre-set level Interior, the control processing module deletes image one, and returns to (1), takes pictures again to finger hand vein recognition region, the finger Hand vein recognition analysis module does not start.
Preferably, the finger hand vein recognition in described (3), including
(I) carries out quality evaluation to image one, and quality assessment result meets the requirements, and continues (II), otherwise deletes image one, weight It is new to return to (1);
(II) refer to the image one after quality evaluation the extraction of vein pattern;
(III) the finger vein pattern after extraction is compared with the finger vein pattern of former typing;
(IV) comparison result coincide, and exports result;
(V) comparison result is misfitted, will be in return (1).
Contactless finger vein identification method two, it is quiet using the above-mentioned contactless finger for being provided with infrared distance sensing device Arteries and veins identification device, the contactless finger vein identification method include:
(1) infrared distance sensing device judges whether there is object and enters finger vein knowledge persistently to hand vein recognition area illumination is referred to In other region;
(2) hot outer distance sensing device has recognized object and has entered and referred in hand vein recognition region, starts high-speed camera unit, High-speed camera unit takes pictures to finger hand vein recognition region, obtains image one;
(3) image one is sent in control processing module and is analyzed, and carries out pair with the pre-set level in control processing module Than the pre-set level includes pixel number, gray scale, resolution ratio and aberration rate;
(4) when pixel number, gray scale, resolution ratio and the aberration rate in image one are all in the range of pre-set level, at the control Reason module sends image one in the fingers hand vein recognition analysis module, and to refer to that hand vein recognition analysis module refer to quiet for unlatching Arteries and veins identification;
(5) when the pixel number in image one, gray scale, respectively rate and aberration rate one of them or multinomial not in the range of pre-set level Interior, the control processing module deletes image one, and returns to (1), takes pictures again to finger hand vein recognition region, the finger Hand vein recognition analysis module does not start.
Preferably, the finger hand vein recognition in described (4), including
(I) carries out quality evaluation to image one, and quality assessment result meets the requirements, and continues (II), otherwise deletes image one, weight It is new to return to (1);
(II) refer to the image one after quality evaluation the extraction of vein pattern;
(III) the finger vein pattern after extraction is compared with the finger vein pattern of former typing;
(IV) comparison result coincide, and exports result;
(V) comparison result is misfitted, will be in return (1).
Further, pixel number, gray scale, resolution ratio and the aberration rate in the pre-set level be respectively,
Pixel number, length (direction X) pixel number are not less than 300, and width (direction Y) pixel number is not less than 100;
Gray scale, dynamical gray range are greater than 128 grades, and the finger vein gray value shown should be less than ambient background gray value;
Resolution ratio, length (direction X) and width (direction Y) resolution ratio are not less than 300dpi;
Aberration rate, maximum distortion rate are not more than 5%.
The technology of the present invention effect major embodiment is in the following areas: by being arranged independently of the height for referring to hand vein recognition analysis module Speed camera shooting unit continuously take pictures or the combination of infrared distance sensing device and high-speed camera unit will entrance identification region Object information is sent to control processing module, and it is determined whether to enable refer to hand vein recognition further according to the information of acquisition for control processing module The method of analysis module can refer to hand vein recognition analysis module with non-contact unlatching, reduce the cross infection of bacterium, virus, subtract The problems such as influencing accuracy of identification because of the shade that the abrasion of identification region or dirty accumulation are formed less, improve user's operation experience.
Detailed description of the invention
Fig. 1 is the simple schematic diagram of 1 device of the embodiment of the present invention
Fig. 2 is 1 flow diagram of the embodiment of the present invention;
Fig. 3 is the simple schematic diagram of 2 device of the embodiment of the present invention;
Fig. 4 is 2 flow diagram of the embodiment of the present invention;
Fig. 5 is the finger vein image for meeting pre-set level;
Fig. 6 is the finger vein image of blank;
Fig. 7 is the finger vein image for not meeting pre-set level.
Specific embodiment
Below in conjunction with attached drawing, a specific embodiment of the invention is described in further detail, so that technical solution of the present invention is more It should be readily appreciated that and grasp.
Embodiment 1:
Such as Fig. 1-2, contactless finger vein identification device, including finger hand vein recognition analysis module, high-speed camera unit and control Processing module, the high-speed camera unit include high-speed camera and infrared lamp, the control processing module respectively with the height Speed camera shooting unit is connected with the finger hand vein recognition analysis module, and the high-speed camera unit can be to finger vein identification device Identification region carries out continuing shooting.
Contactless finger vein identification method using above-mentioned contactless finger vein identification device includes:
(1) high-speed camera unit takes pictures to finger hand vein recognition region with the frequency of N ms, and obtaining image one, (N can be according to existing There is the progress of technology and change, in the present embodiment 1, N is 10ms between 50ms);
(2) image one is sent in control processing module and is analyzed, and carries out pair with the pre-set level in control processing module It include pixel number, gray scale, resolution ratio and aberration rate than, the pre-set level, as shown in Table 1;
Pixel number, gray scale, resolution ratio and aberration rate in the pre-set level be respectively,
Pixel number, length (direction X) pixel number are not less than 300, and width (direction Y) pixel number is not less than 100;
Gray scale, tonal gradation are 0 grade to 256 grades, and in the present invention, dynamical gray value range is to show greater than 128 grades Finger vein gray value should be less than ambient background gray value;
Resolution ratio, length (direction X) and width (direction Y) resolution ratio are not less than 300dpi;
Aberration rate (the piecture geometry fault value caused by length-width direction accounts for the ratio of normal value to optical imagery respectively), maximum distortion Rate is not more than 5%;
Table 1:
Vein blood vessel under finger skin, which is interweaved, is formed by texture, also known as refers to vein;
Such as:
If Fig. 5 is the finger vein image for meeting pre-set level;
Such as the finger vein image that Fig. 6 is blank;
If Fig. 7 is the finger vein image for not meeting pre-set level;
(3) when pixel number, gray scale, resolution ratio and the aberration rate in image one are all in the range of pre-set level, at the control Reason module sends image one in the fingers hand vein recognition analysis module, and to refer to that hand vein recognition analysis module refer to quiet for unlatching Arteries and veins identification;
The finger hand vein recognition, including
(I) carries out quality evaluation to image one, and quality assessment result meets the requirements, and continues (II), otherwise deletes image one, weight It is new to return to (1);
(II) refer to the image one after quality evaluation the extraction of vein pattern;
(III) the finger vein pattern after extraction is compared with the finger vein pattern of former typing;
(IV) comparison result coincide, and exports result;
(V) comparison result is misfitted, will be in return (1);Or the finger hand vein recognition may be in the prior art any Refer to vein identification method;
(4) when the pixel number in image one, gray scale, respectively rate and aberration rate one of them or multinomial not in the range of pre-set level Interior, the control processing module deletes image one, and returns to (1) and recycled again, again to finger hand vein recognition region It takes pictures, the finger hand vein recognition analysis module does not start during this period.
Whether the output result is that the finger hand vein recognition analysis module exports image one quiet with the finger that is pre-stored in library Arteries and veins image coincide as a result, after being identified according to its result other operation.
Embodiment 2:
The difference from embodiment 1 is that such as Fig. 3-4, contactless finger vein identification device refers to that vein identification device includes that finger is quiet Arteries and veins discriminance analysis module, high-speed camera unit and control processing module, the high-speed camera unit includes high-speed camera and red Outer lamp, the control processing module is connect with the high-speed camera unit and the finger hand vein recognition analysis module respectively, described High-speed camera unit shoots the identification region for referring to hand vein recognition analysis module, on the high-speed camera unit also It is provided with infrared distance sensing device, whether has object to enter identification region for identification, the infrared distance sensing device can For general infrared distance sensing device in the prior art, need to only meet generated in identification region because there is object it is infrared away from Corresponding inductive signal is issued from variation.
Contactless finger using the above-mentioned contactless finger vein identification device for being provided with infrared distance sensing device is quiet Arteries and veins recognition methods includes:
(1) infrared distance sensing device judges whether there is object and enters finger vein knowledge persistently to hand vein recognition area illumination is referred to In other region;
(2) hot outer distance sensing device has recognized object and has entered and referred in hand vein recognition region, starts high-speed camera unit, High-speed camera unit takes pictures to finger hand vein recognition region, obtains image one;
(3) image one is sent in control processing module and is analyzed, and carries out pair with the pre-set level in control processing module Than the pre-set level includes pixel number, gray scale, resolution ratio and aberration rate;
Pixel number, gray scale, resolution ratio and aberration rate in the pre-set level be respectively,
Pixel number, length (direction X) pixel number are not less than 300, and width (direction Y) pixel number is not less than 100;
Gray scale, tonal gradation are 0 grade to 256 grades, and in the present invention, dynamical gray value range is to show greater than 128 grades Finger vein gray value should be less than ambient background gray value;
Resolution ratio, length (direction X) and width (direction Y) resolution ratio are not less than 300dpi;
Aberration rate (the piecture geometry fault value caused by length-width direction accounts for the ratio of normal value to optical imagery respectively), maximum distortion Rate is not more than 5%;
(3) when pixel number, gray scale, resolution ratio and the aberration rate in image one are all in the range of pre-set level, at the control Reason module sends image one in the fingers hand vein recognition analysis module, and to refer to that hand vein recognition analysis module refer to quiet for unlatching Arteries and veins identification;
The finger hand vein recognition, including
(I) carries out quality evaluation to image one, and quality assessment result meets the requirements, and continues (II), otherwise deletes image one, weight It is new to return to (1);
(II) refer to the image one after quality evaluation the extraction of vein pattern;
(III) the finger vein pattern after extraction is compared with the finger vein pattern of former typing;
(IV) comparison result coincide, and exports result;
(V) comparison result is misfitted, will be in return (1);
Or the finger hand vein recognition may be any finger vein identification method in the prior art;
(5) when the pixel number in image one, gray scale, respectively rate and aberration rate one of them or multinomial not in the range of pre-set level Interior, the control processing module deletes image one, and returns to (1) and recycled again, again to finger hand vein recognition region It takes pictures, the finger hand vein recognition analysis module does not start during this period.
Whether the output result is that the finger hand vein recognition analysis module exports image one quiet with the finger that is pre-stored in library Arteries and veins image coincide as a result, after being identified according to its result other operation.

Claims (7)

1. contactless finger vein identification device, it is characterised in that: refer to vein identification device include refer to hand vein recognition analysis module, High-speed camera unit and control processing module, the control processing module respectively with the high-speed camera unit and the finger vein The connection of discriminance analysis module, the high-speed camera unit can carry out continuing bat to the identification region for referring to vein identification device It takes the photograph.
2. contactless finger vein identification device according to claim 1, it is characterised in that: in the high-speed camera unit On be additionally provided with infrared distance sensing device, whether there is object to enter identification region for identification.
3. referring to the contactless finger vein identification method of vein identification device, feature using the contact of claim 1 Be: the contactless finger vein identification method includes:
(1) high-speed camera unit obtains the figure of one of them with the frequency of N ms to referring to that hand vein recognition region is persistently taken pictures As being image one;
(2) image one is sent in control processing module and is analyzed, and carries out pair with the pre-set level in control processing module Than the pre-set level includes pixel number, gray scale, resolution ratio and aberration rate;
(3) when pixel number, gray scale, resolution ratio and the aberration rate in image one are all in the range of pre-set level, at the control Reason module sends image one in the fingers hand vein recognition analysis module, and to refer to that hand vein recognition analysis module refer to quiet for unlatching Arteries and veins identification;
(4) when the pixel number in image one, gray scale, respectively rate and aberration rate one of them or multinomial not in the range of pre-set level Interior, the control processing module deletes image one, and returns to (1), takes pictures again to finger hand vein recognition region, the finger Hand vein recognition analysis module does not start.
4. contactless finger vein identification method according to claim 3, it is characterised in that: the finger vein in (3) Identification, including
(I) carries out quality evaluation to image one, and quality assessment result meets the requirements, and continues (II), otherwise deletes image one, weight It is new to return to (1);
(II) refer to the image one after quality evaluation the extraction of vein pattern;
(III) the finger vein pattern after extraction is compared with the finger vein pattern of former typing;
(IV) comparison result coincide, and exports result;
(V) comparison result is misfitted, will be in return (1).
5. referring to the contactless finger vein identification method of vein identification device, feature using the contact of claim 2 Be: the contactless finger vein identification method includes:
(1) infrared distance sensing device judges whether there is object and enters finger vein knowledge persistently to hand vein recognition area illumination is referred to In other region;
(2) hot outer distance sensing device has recognized object and has entered and referred in hand vein recognition region, starts high-speed camera unit, High-speed camera unit takes pictures to finger hand vein recognition region, obtains image one;
(3) image one is sent in control processing module and is analyzed, and carries out pair with the pre-set level in control processing module Than the pre-set level includes pixel number, gray scale, resolution ratio and aberration rate;
(4) when pixel number, gray scale, resolution ratio and the aberration rate in image one are all in the range of pre-set level, at the control Reason module sends image one in the fingers hand vein recognition analysis module, and to refer to that hand vein recognition analysis module refer to quiet for unlatching Arteries and veins identification;
(5) when the pixel number in image one, gray scale, respectively rate and aberration rate one of them or multinomial not in the range of pre-set level Interior, the control processing module deletes image one, and returns to (1), takes pictures again to finger hand vein recognition region, the finger Hand vein recognition analysis module does not start.
6. contactless finger vein identification method according to claim 5, it is characterised in that: the finger vein in (4) Identification, including
(I) carries out quality evaluation to image one, and quality assessment result meets the requirements, and continues (II), otherwise deletes image one, weight It is new to return to (1);
(II) refer to the image one after quality evaluation the extraction of vein pattern;
(III) the finger vein pattern after extraction is compared with the finger vein pattern of former typing;
(IV) comparison result coincide, and exports result;
(V) comparison result is misfitted, will be in return (1).
7. according to the contactless finger vein identification method of claim 3 or 5, it is characterised in that: the picture in the pre-set level Prime number, gray scale, resolution ratio and aberration rate be respectively,
Pixel number, length (direction X) pixel number are not less than 300, and width (direction Y) pixel number is not less than 100;
Gray scale, dynamical gray range are greater than 128 grades, and the finger vein gray value shown should be less than ambient background gray value;
Resolution ratio, length (direction X) and width (direction Y) resolution ratio are not less than 300dpi;
Aberration rate, maximum distortion rate are not more than 5%.
CN201910347936.4A 2019-04-28 2019-04-28 Contactless finger vein identification device and its recognition methods Pending CN110110635A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001116983A (en) * 1999-10-20 2001-04-27 Pfu Ltd Focus position adjusting device, focus position adjusting method of image reader, and recording medium
JP2005312748A (en) * 2004-04-30 2005-11-10 Sony Corp Identification device and method, and authentication system
CN102663376A (en) * 2012-02-22 2012-09-12 重庆科技学院 Near-infrared multi-intensity finger vein image acquisition and integration system, and method
CN107004114A (en) * 2014-11-28 2017-08-01 株式会社日立制作所 Blood-vessel image filming apparatus and individual authentication system
CN107657209A (en) * 2017-07-07 2018-02-02 杭州电子科技大学 A kind of template image login mechanism based on finger vein image quality
CN108846924A (en) * 2018-05-31 2018-11-20 上海商汤智能科技有限公司 Vehicle and car door solution lock control method, device and car door system for unlocking
CN109446874A (en) * 2018-08-28 2019-03-08 五邑大学 A kind of finger venous collection identifying system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001116983A (en) * 1999-10-20 2001-04-27 Pfu Ltd Focus position adjusting device, focus position adjusting method of image reader, and recording medium
JP2005312748A (en) * 2004-04-30 2005-11-10 Sony Corp Identification device and method, and authentication system
CN102663376A (en) * 2012-02-22 2012-09-12 重庆科技学院 Near-infrared multi-intensity finger vein image acquisition and integration system, and method
CN107004114A (en) * 2014-11-28 2017-08-01 株式会社日立制作所 Blood-vessel image filming apparatus and individual authentication system
CN107657209A (en) * 2017-07-07 2018-02-02 杭州电子科技大学 A kind of template image login mechanism based on finger vein image quality
CN108846924A (en) * 2018-05-31 2018-11-20 上海商汤智能科技有限公司 Vehicle and car door solution lock control method, device and car door system for unlocking
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Application publication date: 20190809