CN108154141A - Utilize the biological parameter identification system for referring to vein - Google Patents
Utilize the biological parameter identification system for referring to vein Download PDFInfo
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Abstract
In order to improve the identification degree of palmmprint acquisition, the present invention provides a kind of using referring to the biological parameter identification system of vein, including：Fingerprint long-distance video information acquisition subsystem and parameter identification subsystem, the fingerprint long-distance video information acquisition subsystem obtain fingerprint to be identified for the mode based on video frame, and the parameter identification subsystem is used for according to the fingerprint recognition personnel identity.
Description
Technical field
The invention belongs to physical characteristics collecting fields, and in particular to a kind of to utilize the biological parameter identification system for referring to vein.
Background technology
It is increasingly diversified with the function of integrated circuit, belong to spy's product or the device that can not be obtained at all in the past,
It all gradually popularizes now.Such as the palmmprint scanner similar to fingerprint scanner, it is exactly an example.Past, in tradition
Consumer product market on it is rare or even listen the Palm Print Recognition System all do not listened, also due to integrated circuit palmmprint scans
The appearance of device is increasingly popularized between the user of access control deeply concerned and identification identification；Palm Print Recognition System
Application field is no longer only limitted to government and Security Officer.These devices are the users for ensuring only to obtain mandate
Just can in a computer system or database into line access, moreover, its volume also narrowed down to can put into it is portable
In computer.
Under the increasingly mature background of web development, the networked instruments of palmmprint scanner are ready to appear.However, due to
Network transmission and distal end fingerprint scanner user instruct without professional person, and the picture quality of acquisition is bad, noise
It is excessive.
Invention content
In order to improve the identification degree of online fingerprint collecting, distinguished the present invention provides a kind of using the biological parameter for referring to vein
Knowledge system, including：Fingerprint long-distance video information acquisition subsystem and parameter identification subsystem, the fingerprint long-distance video information obtain
Subsystem is taken to obtain fingerprint to be identified for the mode based on video frame, the parameter identification subsystem is used for according to the finger
Line identifies personnel identity.
Further, the fingerprint long-distance video information acquisition subsystem includes：
First correction processing unit, for carrying out the first gray scale school to collected first frame hand image with initial gray
Positive processing, obtains finger-image, and the hand image includes the palm image and finger-image that correspond to left hand and the right hand respectively；
First intermediate image acquiring unit, for obtaining representing the corresponding finger of each finger using finger vena physiological characteristic
First intermediate image in line region；
Second correction processing unit, for carrying out the second gray scale school to collected second frame hand image with the second gray scale
Positive processing, obtains finger-image, and the hand image includes the palm image and finger-image that correspond to left hand and the right hand respectively；
Second intermediate image acquiring unit, for obtaining representing the corresponding finger of each finger using finger vena physiological characteristic
Second intermediate image in line region；
Palmprint image acquiring unit, for carrying out noise reduction process to the first intermediate image and the second intermediate image, obtain through
Cross the palmprint image of noise reduction.
Further, first correction processing unit includes：
First average gray computing unit, for according to first frame image, calculating the gray scale of left hand and right hand hand image
Average value AGray scale=(AThe left palm+AThe right palm)/2；
First finger determination subelement, in hand image, on the basis of finger shape and length, determining with metacarpus
The image of shortest finger determines the image of secondary short finger as the corresponding figure of little finger of toe as the corresponding image of thumb in image
Picture determines that the image close to thumb as the corresponding image of forefinger, determines the image close to little finger of toe as nameless corresponding figure
Picture determines remaining finger-shaped image as the corresponding image of middle finger；
First finger root portion crunode determination subelement, for determining finger root crotch position in hand image
For finger root bifurcation；
First segmentation subelement, for left hand hand image to be handled as follows：Each finger root bifurcated is clicked through
Row line, and by middle finger and nameless finger root bifurcation and the nameless finger root bifurcation with little finger of toe the two
Metacarpus by middle finger and is eaten close to the intersection point of the profile of little finger of toe as first point in the extended line and hand image of the line of crotch
The extended line of the line of the two crotches of the finger root bifurcation and forefinger and the finger root bifurcation of thumb of finger with
In hand image metacarpus close to the intersection point of the profile of thumb as second point；According to each finger root of left hand hand image point
Crunode and first point and second point remove left-hand palm image in left hand hand image, obtain left-hand finger image；
Second segmentation subelement, for right hand hand image to be handled as follows：Each finger root bifurcated is clicked through
Row line, and by middle finger and nameless finger root bifurcation and the nameless finger root bifurcation with little finger of toe the two
Metacarpus by middle finger and is eaten close to the intersection point of the profile of little finger of toe as thirdly in the extended line and hand image of the line of crotch
The extended line of the line of the two crotches of the finger root bifurcation and forefinger and the finger root bifurcation of thumb of finger with
In hand image metacarpus close to the intersection point of the profile of thumb as the 4th point；According to each finger root of right hand hand image point
Crunode and first point and second point remove right hand palm image in right hand hand image, obtain right finger image；
First gray average computation subunit, for calculate respectively first point, second point, thirdly, centered on the 4th point,
R is the gray average of the neighborhood territory pixel of radius, and 1 × 4 matrix M is formed with this 4 gray averages；
First finger gray count subelement, for using the image at tip in left hand hand image as each finger of left hand
The corresponding image of point, using the image at tip in right hand hand image as the corresponding image of each finger tip of the right hand, calculates with each
In the corresponding image of a finger tip centered on finger tip position, the gray average for the neighborhood that r is radius, with this 10 gray averages
Form 10 × 1 matrix N；
First matrix computation subunit, for calculating the characteristic value A ' i.e. for the matrix that N × M is obtained feature vector a；
First establishment of coordinate system subelement is sat for using first point as origin, establishing the flat square of left-hand finger image
Mark system, the coordinate of second point is daAnd db, using the 4th point as origin, establish the plane right-angle coordinate of right finger image, third
The coordinate of point is d 'aAnd d 'b；
First intersects correction coefficient computation subunit, for calculating each pixel in left-hand finger image and right finger image
Intersection correction coefficient alpha=A ' × (1-AGray scale×(1-x×ed’a/da)/(1-y×edb/d’b)), obtain the left hand after gray correction
With right finger image, wherein x, y is horizontal stroke, ordinate value of each pixel in the coordinate system of left hand and the right hand respectively.
Further, the first intermediate image acquiring unit includes：
For some finger, along finger tip to finger and palm junction direction, hang down according to each finger extending direction
The fineness of straight lines searches a most thick lines, using this lines as line of demarcation, obtains the line of demarcation to corresponding hand
The region of finger tip as the first intermediate image of the corresponding finger, and obtains the ash for referring to vein for the finger where the finger
Degree as with the matched gray scale V of the second intermediate imageGray scale 1。
Further, second correction processing unit includes：
Bias light gray scale adjusting unit, for the bias light gray scale for acquiring hand image to be adjusted to AGray scale/2；
Second average gray computing unit, for according to the second frame image, calculating the gray scale of left hand and right hand hand image
Average value AGray scale 2=(AThe left palm 2+AThe right palm 2)/2；
Second finger determination subelement, in hand image, on the basis of finger shape and length, determining with metacarpus
The image of shortest finger determines the image of secondary short finger as the corresponding figure of little finger of toe as the corresponding image of thumb in image
Picture determines that the image close to thumb as the corresponding image of forefinger, determines the image close to little finger of toe as nameless corresponding figure
Picture determines remaining finger-shaped image as the corresponding image of middle finger；
Second finger root bifurcation determination subelement, for determining finger root crotch position in hand image
For finger root bifurcation；
Third divides subelement, for left hand hand image to be handled as follows：Each finger root bifurcated is clicked through
Row line, and by middle finger and nameless finger root bifurcation and the nameless finger root bifurcation with little finger of toe the two
Metacarpus by middle finger and is eaten close to the intersection point of the profile of little finger of toe as first point in the extended line and hand image of the line of crotch
The extended line of the line of the two crotches of the finger root bifurcation and forefinger and the finger root bifurcation of thumb of finger with
In hand image metacarpus close to the intersection point of the profile of thumb as second point；According to each finger root of left hand hand image point
Crunode and first point and second point remove left-hand palm image in left hand hand image, obtain left-hand finger image；
4th segmentation subelement, for right hand hand image to be handled as follows：Each finger root bifurcated is clicked through
Row line, and by middle finger and nameless finger root bifurcation and the nameless finger root bifurcation with little finger of toe the two
Metacarpus by middle finger and is eaten close to the intersection point of the profile of little finger of toe as thirdly in the extended line and hand image of the line of crotch
The extended line of the line of the two crotches of the finger root bifurcation and forefinger and the finger root bifurcation of thumb of finger with
In hand image metacarpus close to the intersection point of the profile of thumb as the 4th point；According to each finger root of right hand hand image point
Crunode and first point and second point remove right hand palm image in right hand hand image, obtain right finger image；
Second gray average computation subunit, for calculate respectively first point, second point, thirdly, centered on the 4th point,
R is the gray average of the neighborhood territory pixel of radius, and 1 × 4 matrix M is formed with this 4 gray averages；
Second finger gray count subelement, for using the image at tip in left hand hand image as each finger of left hand
The corresponding image of point, using the image at tip in right hand hand image as the corresponding image of each finger tip of the right hand, calculates with each
In the corresponding image of a finger tip centered on finger tip position, the gray average for the neighborhood that R is radius, with this 10 gray averages
Form 10 × 1 matrix N；
Second matrix computation subunit, for calculating the characteristic value A " i.e. for the matrix that N × M is obtained feature vector b；
Second establishment of coordinate system subelement is sat for using second point as origin, establishing the flat square of left-hand finger image
Mark system, first point of coordinate is faAnd fb, thirdly for origin, to establish the plane right-angle coordinate of right finger image, the 4th
The coordinate of point is f 'aAnd f 'b；
Second intersects correction coefficient computation subunit, for calculating each pixel in left-hand finger image and right finger image
Intersection correction coefficient alpha=A " × (1-AGray scale 2× (1-x × lg (f ' a/fa))/(1-y × lg (fb/f ' b))), obtain gray scale school
Left hand and right finger image after just, wherein x, y are horizontal stroke, ordinate of each pixel in the coordinate system of left hand and the right hand respectively
Value.
Further, the second intermediate image acquiring unit includes：
For some finger, along finger tip to finger and palm junction direction, hang down according to each finger extending direction
The fineness of straight lines searches a most thin lines, using this lines as line of demarcation, obtains the line of demarcation to corresponding hand
The region of finger tip as the second intermediate image of the corresponding finger, and obtains the ash for referring to vein for the finger where the finger
Degree as with the matched gray scale V of the second intermediate imageGray scale 2。
Further, the palmprint image acquiring unit includes：
First areal calculation subelement, for calculating left-hand palm area B 1 and right hand palm area B2, hand in first frame
The boundary of the palm and finger is with reference to the finger root bifurcation line of each hand；
Second area computation subunit, for calculating left-hand palm area B ' 1 and right hand palm area B ' 2 in the second frame,
The boundary of palm and finger is with reference to the finger root bifurcation line of each hand；
Finger areal calculation subelement, for the finger to left hand and the right hand, add up each first middle graph respectively
Image planes are accumulated and the area of the second intermediate image, and then obtain the area of the first intermediate image and the area of C1 and the second intermediate image
And C2；
R-matrix computation subunit obtains matrix E for calculating matrix a × b；
Palm area factor computation subunit, for calculating the palm area factor of left hand and the right hand respectively：pLeft hand is slapped=ln
(r×(B1/(2×B’1))/VGray scale 1), pThe right hand is slapped=ln (R × (B2/ (2 × B ' 2))/VGray scale 2)；
Picture noise filtering subunit, for being filtered to palm image, filtering factor β is：
According to the picture noise wave filter that filtering factor is β, exponent filtering is carried out to the first frame palm image, wherein
Filtering parameter i.e. filtering factor β.
Further, it is 0.08~0.3 that the r value ranges, which are 0.02~0.1, R,.
Further, the R is 3 times of r.
Further, the initial gray is RGB (255,255,255).
Technical scheme of the present invention has the following advantages：
Using background gray scale when actively changing online fingerprint collecting and creatively with the finger of left hand and the right hand, palm
Gray balance technology and by means of finger and palm acquisition similitude the features such as, due to dither frame when reducing online acquisition
Or network transmission signal-to-noise ratio influences the quality of fingerprint collecting image.After tested, discrimination, which is compared, has online acquisition technology
Improve more than 40%.
Description of the drawings
Fig. 1 shows the composition frame chart of safety-protection system according to the present invention.
Fig. 2 shows the composition frame charts of fingerprint long-distance video information acquisition subsystem according to the present invention.
Specific embodiment
As shown in Figure 1, the biological parameter identification system that the utilization of the present invention refers to vein includes：Fingerprint long-distance video information obtains
Subsystem and parameter identification subsystem are taken, the fingerprint long-distance video information acquisition subsystem obtains for the mode based on video frame
Fingerprint to be identified is obtained, the parameter identification subsystem is used for according to the fingerprint recognition personnel identity.
Preferably, as shown in Fig. 2, the fingerprint long-distance video information acquisition subsystem includes：First correction processing unit,
For with initial gray to collected first frame hand image carry out the first gradation correction processing, obtain finger-image, it is described
Hand image includes the palm image and finger-image that correspond to left hand and the right hand respectively；
First intermediate image acquiring unit, for obtaining representing the corresponding finger of each finger using finger vena physiological characteristic
First intermediate image in line region；
Second correction processing unit, for carrying out the second gray scale school to collected second frame hand image with the second gray scale
Positive processing, obtains finger-image, and the hand image includes the palm image and finger-image that correspond to left hand and the right hand respectively；
Second intermediate image acquiring unit, for obtaining representing the corresponding finger of each finger using finger vena physiological characteristic
Second intermediate image in line region；
Palmprint image acquiring unit, for carrying out noise reduction process to the first intermediate image and the second intermediate image, obtain through
Cross the palmprint image of noise reduction.
Preferably, first correction processing unit includes：
First average gray computing unit, for according to first frame image, calculating the gray scale of left hand and right hand hand image
Average value AGray scale=(AThe left palm+AThe right palm)/2；
First finger determination subelement, in hand image, on the basis of finger shape and length, determining with metacarpus
The image of shortest finger determines the image of secondary short finger as the corresponding figure of little finger of toe as the corresponding image of thumb in image
Picture determines that the image close to thumb as the corresponding image of forefinger, determines the image close to little finger of toe as nameless corresponding figure
Picture determines remaining finger-shaped image as the corresponding image of middle finger；
First finger root portion crunode determination subelement, for determining finger root crotch position in hand image
For finger root bifurcation；
First segmentation subelement, for left hand hand image to be handled as follows：Each finger root bifurcated is clicked through
Row line, and by middle finger and nameless finger root bifurcation and the nameless finger root bifurcation with little finger of toe the two
Metacarpus by middle finger and is eaten close to the intersection point of the profile of little finger of toe as first point in the extended line and hand image of the line of crotch
The extended line of the line of the two crotches of the finger root bifurcation and forefinger and the finger root bifurcation of thumb of finger with
In hand image metacarpus close to the intersection point of the profile of thumb as second point；According to each finger root of left hand hand image point
Crunode and first point and second point remove left-hand palm image in left hand hand image, obtain left-hand finger image；
Second segmentation subelement, for right hand hand image to be handled as follows：Each finger root bifurcated is clicked through
Row line, and by middle finger and nameless finger root bifurcation and the nameless finger root bifurcation with little finger of toe the two
Metacarpus by middle finger and is eaten close to the intersection point of the profile of little finger of toe as thirdly in the extended line and hand image of the line of crotch
The extended line of the line of the two crotches of the finger root bifurcation and forefinger and the finger root bifurcation of thumb of finger with
In hand image metacarpus close to the intersection point of the profile of thumb as the 4th point；According to each finger root of right hand hand image point
Crunode and first point and second point remove right hand palm image in right hand hand image, obtain right finger image；
First gray average computation subunit, for calculate respectively first point, second point, thirdly, centered on the 4th point,
R is the gray average of the neighborhood territory pixel of radius, and 1 × 4 matrix M is formed with this 4 gray averages；
First finger gray count subelement, for using the image at tip in left hand hand image as each finger of left hand
The corresponding image of point, using the image at tip in right hand hand image as the corresponding image of each finger tip of the right hand, calculates with each
In the corresponding image of a finger tip centered on finger tip position, the gray average for the neighborhood that r is radius, with this 10 gray averages
Form 10 × 1 matrix N；
First matrix computation subunit, for calculating the characteristic value A ' i.e. for the matrix that N × M is obtained feature vector a；
First establishment of coordinate system subelement is sat for using first point as origin, establishing the flat square of left-hand finger image
Mark system, the coordinate of second point is daAnd db, using the 4th point as origin, establish the plane right-angle coordinate of right finger image, third
The coordinate of point is d 'aAnd d 'b；
First intersects correction coefficient computation subunit, for calculating each pixel in left-hand finger image and right finger image
Intersection correction coefficient alpha=A ' × (1-AGray scale×(1-x×ed’a/da)/(1-y×edb/d’b)), obtain the left hand after gray correction
With right finger image, wherein x, y is horizontal stroke, ordinate value of each pixel in the coordinate system of left hand and the right hand respectively.
Preferably, the first intermediate image acquiring unit includes：
For some finger, along finger tip to finger and palm junction direction, hang down according to each finger extending direction
The fineness of straight lines searches a most thick lines, using this lines as line of demarcation, obtains the line of demarcation to corresponding hand
The region of finger tip as the first intermediate image of the corresponding finger, and obtains the ash for referring to vein for the finger where the finger
Degree as with the matched gray scale V of the second intermediate imageGray scale 1。
Preferably, second correction processing unit includes：
Bias light gray scale adjusting unit, for the bias light gray scale for acquiring hand image to be adjusted to AGray scale/2；
Second average gray computing unit, for according to the second frame image, calculating the gray scale of left hand and right hand hand image
Average value AGray scale 2=(AThe left palm 2+AThe right palm 2)/2；
Second finger determination subelement, in hand image, on the basis of finger shape and length, determining with metacarpus
The image of shortest finger determines the image of secondary short finger as the corresponding figure of little finger of toe as the corresponding image of thumb in image
Picture determines that the image close to thumb as the corresponding image of forefinger, determines the image close to little finger of toe as nameless corresponding figure
Picture determines remaining finger-shaped image as the corresponding image of middle finger；
Second finger root bifurcation determination subelement, for determining finger root crotch position in hand image
For finger root bifurcation；
Third divides subelement, for left hand hand image to be handled as follows：Each finger root bifurcated is clicked through
Row line, and by middle finger and nameless finger root bifurcation and the nameless finger root bifurcation with little finger of toe the two
Metacarpus by middle finger and is eaten close to the intersection point of the profile of little finger of toe as first point in the extended line and hand image of the line of crotch
The extended line of the line of the two crotches of the finger root bifurcation and forefinger and the finger root bifurcation of thumb of finger with
In hand image metacarpus close to the intersection point of the profile of thumb as second point；According to each finger root of left hand hand image point
Crunode and first point and second point remove left-hand palm image in left hand hand image, obtain left-hand finger image；
4th segmentation subelement, for right hand hand image to be handled as follows：Each finger root bifurcated is clicked through
Row line, and by middle finger and nameless finger root bifurcation and the nameless finger root bifurcation with little finger of toe the two
Metacarpus by middle finger and is eaten close to the intersection point of the profile of little finger of toe as thirdly in the extended line and hand image of the line of crotch
The extended line of the line of the two crotches of the finger root bifurcation and forefinger and the finger root bifurcation of thumb of finger with
In hand image metacarpus close to the intersection point of the profile of thumb as the 4th point；According to each finger root of right hand hand image point
Crunode and first point and second point remove right hand palm image in right hand hand image, obtain right finger image；
Second gray average computation subunit, for calculate respectively first point, second point, thirdly, centered on the 4th point,
R is the gray average of the neighborhood territory pixel of radius, and 1 × 4 matrix M is formed with this 4 gray averages；
Second finger gray count subelement, for using the image at tip in left hand hand image as each finger of left hand
The corresponding image of point, using the image at tip in right hand hand image as the corresponding image of each finger tip of the right hand, calculates with each
In the corresponding image of a finger tip centered on finger tip position, the gray average for the neighborhood that R is radius, with this 10 gray averages
Form 10 × 1 matrix N；
Second matrix computation subunit, for calculating the characteristic value A " i.e. for the matrix that N × M is obtained feature vector b；
Second establishment of coordinate system subelement is sat for using second point as origin, establishing the flat square of left-hand finger image
Mark system, first point of coordinate is faAnd fb, thirdly for origin, to establish the plane right-angle coordinate of right finger image, the 4th
The coordinate of point is f 'aAnd f 'b；
Second intersects correction coefficient computation subunit, for calculating each pixel in left-hand finger image and right finger image
Intersection correction coefficient alpha=A " × (1-AGray scale 2× (1-x × lg (f ' a/fa))/(1-y × lg (fb/f ' b))), obtain gray scale school
Left hand and right finger image after just, wherein x, y are horizontal stroke, ordinate of each pixel in the coordinate system of left hand and the right hand respectively
Value.
Preferably, the second intermediate image acquiring unit includes：
For some finger, along finger tip to finger and palm junction direction, hang down according to each finger extending direction
The fineness of straight lines searches a most thin lines, using this lines as line of demarcation, obtains the line of demarcation to corresponding hand
The region of finger tip as the second intermediate image of the corresponding finger, and obtains the ash for referring to vein for the finger where the finger
Degree as with the matched gray scale V of the second intermediate imageGray scale 2。
Preferably, the palmprint image acquiring unit includes：
First areal calculation subelement, for calculating left-hand palm area B 1 and right hand palm area B2, hand in first frame
The boundary of the palm and finger is with reference to the finger root bifurcation line of each hand；
Second area computation subunit, for calculating left-hand palm area B ' 1 and right hand palm area B ' 2 in the second frame,
The boundary of palm and finger is with reference to the finger root bifurcation line of each hand；
Finger areal calculation subelement, for the finger to left hand and the right hand, add up each first middle graph respectively
Image planes are accumulated and the area of the second intermediate image, and then obtain the area of the first intermediate image and the area of C1 and the second intermediate image
And C2；
R-matrix computation subunit obtains matrix E for calculating matrix a × b；
Palm area factor computation subunit, for calculating the palm area factor of left hand and the right hand respectively：pLeft hand is slapped=ln
(r×(B1/(2×B’1))/VGray scale 1), pThe right hand is slapped=ln (R × (B2/ (2 × B ' 2))/VGray scale 2)；
Picture noise filtering subunit, for being filtered to palm image, filtering factor β is：
According to the picture noise wave filter that filtering factor is β, exponent filtering is carried out to the first frame palm image, wherein
Filtering parameter i.e. filtering factor β.
Preferably, it is 0.08~0.3 that the r value ranges, which are 0.02~0.1, R,.
Preferably, the R is 3 times of r.
Preferably, the initial gray is RGB (255,255,255).
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement made within refreshing and principle etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of utilize the biological parameter identification system for referring to vein, which is characterized in that including：Fingerprint long-distance video acquisition of information
System and parameter identification subsystem, the fingerprint long-distance video information acquisition subsystem are treated for the mode based on video frame
The fingerprint of identification, the parameter identification subsystem are used for according to the fingerprint recognition personnel identity.
2. as described in claim 1 utilize the biological parameter identification system for referring to vein, which is characterized in that the fingerprint remotely regards
Frequency information acquisition subsystem includes：
First correction processing unit, for being carried out at the first gray correction to collected first frame hand image with initial gray
Reason, obtains finger-image, and the hand image includes the palm image and finger-image that correspond to left hand and the right hand respectively；
First intermediate image acquiring unit, for obtaining representing the corresponding fingerprint region of each finger using finger vena physiological characteristic
First intermediate image in domain；
Second correction processing unit, for being carried out at the second gray correction to collected second frame hand image with the second gray scale
Reason, obtains finger-image, and the hand image includes the palm image and finger-image that correspond to left hand and the right hand respectively；
Second intermediate image acquiring unit, for obtaining representing the corresponding fingerprint region of each finger using finger vena physiological characteristic
Second intermediate image in domain；
Palmprint image acquiring unit for carrying out noise reduction process to the first intermediate image and the second intermediate image, is obtained by drop
The palmprint image made an uproar.
3. as described in claim 1 utilize the biological parameter identification system for referring to vein, which is characterized in that at first correction
Reason unit includes：
First average gray computing unit, for according to first frame image, the gray scale for calculating left hand and right hand hand image to be averaged
Value AGray scale=(AThe left palm+AThe right palm)/2；
First finger determination subelement, in hand image, on the basis of finger shape and length, determining with hand image
In shortest finger image as the corresponding image of thumb, determine the image of time short finger as the corresponding image of little finger of toe,
The image close to thumb is determined as the corresponding image of forefinger, the determining image close to little finger of toe is used as nameless corresponding image,
Determine remaining finger-shaped image as the corresponding image of middle finger；
First finger root portion crunode determination subelement, for determining that finger root crotch position is hand in hand image
Refer to root bifurcation；
First segmentation subelement, for left hand hand image to be handled as follows：Each finger root bifurcation is connected
Line, and by middle finger and nameless finger root bifurcation and nameless with the two bifurcateds of the finger root bifurcation of little finger of toe
In the extended line and hand image of the line at place metacarpus close to the intersection point of the profile of little finger of toe as first point, by middle finger and forefinger
The extended line and metacarpus of the line of the two crotches of finger root bifurcation and the finger root bifurcation of forefinger and thumb
In image metacarpus close to the intersection point of the profile of thumb as second point；According to each finger root bifurcation of left hand hand image
With first point and second point, left-hand palm image is removed in left hand hand image, obtains left-hand finger image；
Second segmentation subelement, for right hand hand image to be handled as follows：Each finger root bifurcation is connected
Line, and by middle finger and nameless finger root bifurcation and nameless with the two bifurcateds of the finger root bifurcation of little finger of toe
In the extended line and hand image of the line at place metacarpus close to the intersection point of the profile of little finger of toe as thirdly, by middle finger and forefinger
The extended line and metacarpus of the line of the two crotches of finger root bifurcation and the finger root bifurcation of forefinger and thumb
In image metacarpus close to the intersection point of the profile of thumb as the 4th point；According to each finger root bifurcation of right hand hand image
With first point and second point, right hand palm image is removed in right hand hand image, obtains right finger image；
First gray average computation subunit, for calculate respectively first point, second point, thirdly, centered on the 4th point, r be
The gray average of the neighborhood territory pixel of radius is formed 1 × 4 matrix M with this 4 gray averages；
First finger gray count subelement, for using the image at tip in left hand hand image as each finger tip pair of left hand
The image answered using the image at tip in right hand hand image as the corresponding image of each finger tip of the right hand, is calculated with each hand
In the corresponding image of finger tip centered on finger tip position, the gray average for the neighborhood that r is radius, formed with this 10 gray averages
10 × 1 matrix N；
First matrix computation subunit, for calculating the characteristic value A ' i.e. for the matrix that N × M is obtained feature vector a；
First establishment of coordinate system subelement, for using first point as origin, establishing the plane right-angle coordinate of left-hand finger image,
The coordinate of second point is daAnd db, using the 4th point as origin, the plane right-angle coordinate of right finger image is established, thirdly
Coordinate is d 'aAnd d 'b；
First intersects correction coefficient computation subunit, for calculating the friendship of each pixel in left-hand finger image and right finger image
Pitch correction coefficient alpha=A ' × (1-AGray scale×(1-x×ed’a/da)/(1-y×edb/d’b)), obtain the left hand after gray correction and the right side
Hand finger image, wherein x, y are horizontal stroke, ordinate value of each pixel in the coordinate system of left hand and the right hand respectively.
4. as described in claim 1 utilize the biological parameter identification system for referring to vein, which is characterized in that first middle graph
As acquiring unit includes：
For some finger, along finger tip to finger and palm junction direction, according to vertical with each finger extending direction
The fineness of lines searches a most thick lines, using this lines as line of demarcation, obtains the line of demarcation to corresponding finger tip
Region, as the first intermediate image of the corresponding finger, and refer to for the finger acquisition where the finger gray scale work of vein
For with the matched gray scale V of the second intermediate imageGray scale 1。
5. as described in claim 1 utilize the biological parameter identification system for referring to vein, which is characterized in that at second correction
Reason unit includes：
Bias light gray scale adjusting unit, for the bias light gray scale for acquiring hand image to be adjusted to AGray scale/2；
Second average gray computing unit, for according to the second frame image, the gray scale for calculating left hand and right hand hand image to be averaged
Value AGray scale 2=(AThe left palm 2+AThe right palm 2)/2；
Second finger determination subelement, in hand image, on the basis of finger shape and length, determining with hand image
In shortest finger image as the corresponding image of thumb, determine the image of time short finger as the corresponding image of little finger of toe,
The image close to thumb is determined as the corresponding image of forefinger, the determining image close to little finger of toe is used as nameless corresponding image,
Determine remaining finger-shaped image as the corresponding image of middle finger；
Second finger root bifurcation determination subelement, for determining that finger root crotch position is hand in hand image
Refer to root bifurcation；
Third divides subelement, for left hand hand image to be handled as follows：Each finger root bifurcation is connected
Line, and by middle finger and nameless finger root bifurcation and nameless with the two bifurcateds of the finger root bifurcation of little finger of toe
In the extended line and hand image of the line at place metacarpus close to the intersection point of the profile of little finger of toe as first point, by middle finger and forefinger
The extended line and metacarpus of the line of the two crotches of finger root bifurcation and the finger root bifurcation of forefinger and thumb
In image metacarpus close to the intersection point of the profile of thumb as second point；According to each finger root bifurcation of left hand hand image
With first point and second point, left-hand palm image is removed in left hand hand image, obtains left-hand finger image；
4th segmentation subelement, for right hand hand image to be handled as follows：Each finger root bifurcation is connected
Line, and by middle finger and nameless finger root bifurcation and nameless with the two bifurcateds of the finger root bifurcation of little finger of toe
In the extended line and hand image of the line at place metacarpus close to the intersection point of the profile of little finger of toe as thirdly, by middle finger and forefinger
The extended line and metacarpus of the line of the two crotches of finger root bifurcation and the finger root bifurcation of forefinger and thumb
In image metacarpus close to the intersection point of the profile of thumb as the 4th point；According to each finger root bifurcation of right hand hand image
With first point and second point, right hand palm image is removed in right hand hand image, obtains right finger image；
Second gray average computation subunit, for calculate respectively first point, second point, thirdly, centered on the 4th point, R be
The gray average of the neighborhood territory pixel of radius is formed 1 × 4 matrix M with this 4 gray averages；
Second finger gray count subelement, for using the image at tip in left hand hand image as each finger tip pair of left hand
The image answered using the image at tip in right hand hand image as the corresponding image of each finger tip of the right hand, is calculated with each hand
In the corresponding image of finger tip centered on finger tip position, the gray average for the neighborhood that R is radius, formed with this 10 gray averages
10 × 1 matrix N；
Second matrix computation subunit, for calculating the characteristic value A " i.e. for the matrix that N × M is obtained feature vector b；
Second establishment of coordinate system subelement, for using second point as origin, establishing the plane right-angle coordinate of left-hand finger image,
First point of coordinate is faAnd fb, thirdly for origin, to establish the plane right-angle coordinate of right finger image, the 4th point
Coordinate is f 'aAnd f 'b；
Second intersects correction coefficient computation subunit, for calculating the friendship of each pixel in left-hand finger image and right finger image
Pitch correction coefficient alpha=A " × (1-AGray scale 2× (1-x × lg (f ' a/fa))/(1-y × lg (fb/f ' b))), after obtaining gray correction
Left hand and right finger image, wherein x, y be horizontal stroke, ordinate value of each pixel in the coordinate system of left hand and the right hand respectively.
6. as described in claim 1 utilize the biological parameter identification system for referring to vein, which is characterized in that second middle graph
As acquiring unit includes：
For some finger, along finger tip to finger and palm junction direction, according to vertical with each finger extending direction
The fineness of lines searches a most thin lines, using this lines as line of demarcation, obtains the line of demarcation to corresponding finger tip
Region, as the second intermediate image of the corresponding finger, and refer to for the finger acquisition where the finger gray scale work of vein
For with the matched gray scale V of the second intermediate imageGray scale 2。
7. as described in claim 1 utilize the biological parameter identification system for referring to vein, which is characterized in that the palmprint image obtains
Unit is taken to include：
First areal calculation subelement, for calculating left-hand palm area B 1 and right hand palm area B2 in first frame, palm with
The boundary of finger is with reference to the finger root bifurcation line of each hand；
Second area computation subunit, for calculating left-hand palm area B ' 1 and right hand palm area B ' 2 in the second frame, palm
With the boundary of finger with reference to the finger root bifurcation line of each hand；
Finger areal calculation subelement, for the finger to left hand and the right hand, add up each first middle graph image planes respectively
Product and the second intermediate image area, and then obtain the first intermediate image area and the area of C1 and the second intermediate image and
C2；
R-matrix computation subunit obtains matrix E for calculating matrix a × b；
Palm area factor computation subunit, for calculating the palm area factor of left hand and the right hand respectively：pLeft hand is slapped=ln (r ×
(B1/(2×B’1))/VGray scale 1), pThe right hand is slapped=ln (R × (B2/ (2 × B ' 2))/VGray scale 2)；
Picture noise filtering subunit, for being filtered to palm image, filtering factor β is：
According to the picture noise wave filter that filtering factor is β, exponent filtering, wherein filtering parameter are carried out to the first frame palm image
That is filtering factor β.
8. as described in claim 1 utilize the biological parameter identification system for referring to vein, which is characterized in that the r value ranges
It is 0.08~0.3 for 0.02~0.1, R.
9. as described in claim 1 utilize the biological parameter identification system for referring to vein, which is characterized in that the R is 3 times of r.
10. as described in claim 1 utilize the biological parameter identification system for referring to vein, which is characterized in that the initial gray
For RGB (255,255,255).
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