CN107358185B - Palm print and palm vein image-recognizing method and device based on topological analysis - Google Patents
Palm print and palm vein image-recognizing method and device based on topological analysis Download PDFInfo
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The present invention provides a kind of palm print and palm vein image-recognizing method based on topological analysis, comprising the following steps: S1: palm print and palm vein image is obtained；S2: palm print and palm vein image is pre-processed to obtain palm print and palm vein distribution map；S3: the node of calibration palm arteries and veins in palm print and palm vein distribution map, node includes bifurcation and endpoint；S4: establishing each palm arteries and veins and slaps the topological relation between the node on arteries and veins；S5: palm print and palm vein information is identified according to topological relation.Accordingly, the present invention also provides a kind of palm print and palm vein pattern recognition device based on topological analysis.The topological structure of this method and device based on palm arteries and veins is characterized and is stored to the feature of palm arteries and veins, treatment process is simple, the operand of Digital Image Processing is small, effectively reduce data processing amount and data storage capacity in palm arteries and veins identification process, identification process is not limited by shooting angle, shooting distance and picture sampler model, versatile, and device uses MCU, it is at low cost, it is low in energy consumption.
Description
Technical field
The present invention relates to palm print and palm vein image identification technical field, in particular to a kind of palm print and palm vein based on topological analysis
Image-recognizing method and device.
Background technique
The hand vein recognition (identification of palm arteries and veins) of palm is a kind of living body biological identification technique of high safety.Technique is in pole
It is identified under the system of the accurate safety of degree.It is that the distribution of palm vein is obtained using near infrared ray inductor with principle
Figure stores template, and then establishes everyone unique palm vein image database in a computer, then passes through computer
Everyone palm vein data of storage are logged in, can also be managed in computer.Arteries and veins identification is slapped by being then based on living body
The high security of bio-identification, uniqueness have broad application prospects in safety-security area.
In current palm print and palm vein identification technology, such as application No. is in 201010276401.7 application for a patent for invention,
Disclosed palm print and palm vein identifying system is by directly acquiring palmprint image and palm arteries and veins image, and by the palm print and palm vein image of acquisition
Carry out aspect ratio pair after pretreatment with the sample that pre-saves, the content specifically compared palmmprint and does not slap the distribution of arteries and veins itself yet
Image information (distribution and trend of such as palm print and palm vein), the pretreatment carried out still only resides within existing image procossing
And it compares technical.
In addition, when existing palm print and palm vein identifies, due to based on the extraction to the graphic feature itself in image, thus,
For camera institute acquired image, (such as wide-angle lens acquires image to the deformation of the image border as caused by some cameras itself
Deformation, the anamorphose rate of different camera lenses is different), the versatility of image collecting device will be caused poor, to system unit
Uniformity is more demanding.Thus the prior art is controlled by different application and different collection lens, different images
Identification equipment can not be compatible with, and unique identification is poor, does not have effective identification.
Therefore, the existing position that fixed hand is needed in identification process, when collected hand range image acquisition device away from
From it is different when, will be affected to pretreated image result.In particular, plane angle after hand offset or where palm
When degree transformation, characteristics of image is changed greatly.When carrying out the identification of palm print and palm vein feature at this time, system obtains the palm arteries and veins of palm in processing
Distribution characteristics often obtains influence journey of the palm inclination to identification process to avoid identification error by the way of statistical data
For degree to carry out de-redundancy, the calculation amount that image preprocessing is carried out required for this mode is also very big, heavier to system burden, whole
A system power dissipation is big, therefore it is required that system has stronger operational capability to execute complicated Digital Image Processing.Thus its structure
When at product, it is limited to the requirement of operational capability, small product size is larger, is unfavorable for being widely popularized in safety-security area.
Summary of the invention
The purpose of the present invention is to provide a kind of palm print and palm vein image-recognizing method and device based on topological analysis, with solution
Required operand is larger, fault-tolerance is poor present in certainly existing palm print and palm vein recognition methods, is unable to good conformity in difference
The problem of image recognition of the palm print and palm vein of angle.
The second object of the present invention is to provide a kind of palm print and palm vein image-recognizing method and device based on topological analysis,
To solve, the existing security device poor universality based on palm print and palm vein identification, power consumption are high, limit requirement is high (to the position of palm
Set, angle requirement it is higher), problem at high cost, volume is larger.
To achieve the above object, the present invention provides a kind of palm print and palm vein image-recognizing method based on topological analysis, packet
Include following steps:
S1: palm print and palm vein image is obtained；
S2: the palm print and palm vein image is pre-processed to obtain palm print and palm vein distribution map；
S3: the node of calibration palm arteries and veins in the palm print and palm vein distribution map, the node includes bifurcation and endpoint；
S4: establishing each palm arteries and veins and slaps the topological relation between the node on arteries and veins；
S5: palm print and palm vein information is identified according to the topological relation.
Preferably, the step S1 further comprises: acquiring the palm print and palm vein image using picture sampler.
Preferably, the pretreatment in the step S2 include: to the palm print and palm vein image carry out wavelet de-noising processing after,
Binary conversion treatment is carried out again, obtains digitized palm print and palm vein distribution map.
Preferably, the step S3 further comprises:
Firstly, demarcating cog region according to palm natural quality in palm print and palm vein image；
Then the node in the cog region according to nodal community calibration palm arteries and veins.
Preferably, include: that identification finger and palm are bordered by position according to palm natural quality calibration cog region, feeding refer to
The interface point of middle finger and nameless as a reference point with the interface point of little finger of toe using the line is side in palm after two reference point lines
On take square area as the cog region；Or feeding refers to and the interface point of middle finger, nameless interface point and thumb with little finger of toe
Refer to the interface point of index finger as three reference points, takes the inscribed circle of three reference points as the cog region.
Preferably, the nodal community includes: endpoint, triradius, right-angled intersection point.
Preferably, the step S4 includes:
Rectangular coordinate system is established in the cog region；
Extract the endpoint of the palm arteries and veins in the cog region；
The Distance Judgment of the two coordinate directions palm arteries and veins is fastened in the rectangular co-ordinate according to two endpoints of same palm arteries and veins
Trend；
Initial code is carried out to palm arteries and veins according to the trend of palm arteries and veins；
By the node on each item palm arteries and veins and secondary coding is carried out for node；
The initial code for slapping arteries and veins is combined with the secondary coding of corresponding node, obtains palm arteries and veins topological structure coding schedule
To characterize the topological relation of palm arteries and veins.
Preferably, the step S5 further include: preset matching weight is arranged for the different data in the topological relation, knows
When other palm print and palm vein information, it is match cognization success that matching weight, which reaches preset matching weight then,.
The present invention also provides a kind of palm print and palm vein pattern recognition device based on topological analysis, comprising:
Image collection module, for obtaining palm print and palm vein image；
Image pre-processing module, for being pre-processed to obtain palm print and palm vein distribution map to the palm print and palm vein image；
Topological analysis module, for demarcating cog region according to palm natural quality in the palm print and palm vein distribution map,
The node of calibration palm arteries and veins in the cog region, the node includes bifurcation and endpoint；Right angle seat is established in the cog region
Mark system extracts the endpoint of the palm arteries and veins in the cog region, fastens two in the rectangular co-ordinate according to two endpoints of same palm arteries and veins
The trend of the Distance Judgment of the coordinate direction palm arteries and veins carries out initial code to palm arteries and veins according to the trend of palm arteries and veins, each item is slapped on arteries and veins
Node and carry out secondary coding for node, the initial code for slapping arteries and veins is combined with secondary encode of corresponding node, is obtained
The topological relation of palm arteries and veins is characterized to palm arteries and veins topological structure coding schedule；
Identification module, for identifying palm print and palm vein information according to the topological relation.
Preferably, further include: memory module slaps the topological relation of arteries and veins for storing the personnel for being authorized to and prestoring, so as to know
The topological relation that topological analysis module obtains and the topological relation stored in memory module match identifying by other module.
The present invention also provides a kind of palm print and palm vein pattern recognition device based on topological analysis, comprising:
Picture sampler, for acquiring palm print and palm vein image；
Micro-control unit obtains palm print and palm vein distribution map for being pre-processed to the palm print and palm vein image, and in institute
It states in palm print and palm vein distribution map and demarcates cog region according to palm natural quality, the node of calibration palm arteries and veins, institute in the cog region
Stating node includes bifurcation and endpoint；Rectangular coordinate system is established in the cog region, extracts the palm arteries and veins in the cog region
Endpoint fastens walking for the Distance Judgment palm arteries and veins of two coordinate directions in the rectangular co-ordinate according to two endpoints of same palm arteries and veins
To, initial code is carried out to palm arteries and veins according to the trend of palm arteries and veins, by the node on each item palm arteries and veins and carries out secondary coding for node, it will
The initial code for slapping arteries and veins is combined with the secondary coding of corresponding node, obtains palm arteries and veins topological structure coding schedule to characterize palm arteries and veins
Topological relation, and according to the topological relation identify palm print and palm vein information.
The invention has the following advantages:
(1) topological structure based on palm arteries and veins is characterized and is stored to the feature of palm arteries and veins, and treatment process is simple, digital picture
The operand of combing is small, to effectively reduce data processing amount and data storage capacity in palm arteries and veins identification process；
(2) palm arteries and veins based on topological analysis identifies that its identification process is only related to the palm topological relation of arteries and veins, and identification process is not
It is limited by palm arteries and veins image taking angle, shooting distance and picture sampler model, as long as extractor is opened up after taking palm arteries and veins image
The feature for flutterring relationship can be identified that versatility is stronger；
(3) since the topological relation of palm arteries and veins only characterizes the relationship of each point and side, data processing amount is reduced, Jin Erjin
The processor requirement of row processing reduces, at low cost using MCU, low in energy consumption, is very suitable for being widely applied.
Detailed description of the invention
Fig. 1 is the palm print and palm vein image-recognizing method flow chart based on topological analysis of preferred embodiment；
Fig. 2 is the palm print and palm vein image schematic diagram that a preferred embodiment obtains；
Fig. 3 is the cog region schematic diagram divided in the palm print and palm vein image of Fig. 2；
Fig. 4 is the corresponding topology diagram of palm arteries and veins in the cog region of Fig. 3；
Fig. 5 be Fig. 4 topology diagram carry out the palm arteries and veins move towards judge with reference to figure；
Fig. 6 is that the palm print and palm vein pattern recognition device based on topological analysis of the preferred embodiment of the present invention forms figure.
Specific embodiment
Below with reference to attached drawing of the invention, the technical scheme in the embodiment of the invention is clearly and completely described
And discussion, it is clear that as described herein is only a part of example of the invention, is not whole examples, based on the present invention
In embodiment, those of ordinary skill in the art's every other implementation obtained without making creative work
Example, belongs to protection scope of the present invention.
For the ease of the understanding to the embodiment of the present invention, make by taking specific embodiment as an example below in conjunction with attached drawing further
It illustrates, and each embodiment does not constitute the restriction to the embodiment of the present invention.
Present embodiments provide a kind of palm print and palm vein image-recognizing method based on topological analysis, shown in Figure 1, the party
Method the following steps are included:
S1: palm print and palm vein image is obtained；
S2: the palm print and palm vein image is pre-processed to obtain palm print and palm vein distribution map；
S3: the node of calibration palm arteries and veins in the palm print and palm vein distribution map, the node includes bifurcation and endpoint；
S4: establishing each palm arteries and veins and slaps the topological relation between the node on arteries and veins；
S5: palm print and palm vein information is identified according to the topological relation.
This method is and then the topological relation (unique biological characteristic) to the palm arteries and veins grown naturally extracts analysis
It is identified based on the topological relation, not only realizes effective identification of personnel identity, while the institute of the identification based on topological relation
The data volume of processing greatly reduces, and while recognition efficiency effectively improves, does not need to carry out complicated operation and analysis, effectively
Ground reduces the pressure of processor, and then can reduce the volume and cost for executing the processor of this method.
Below with the specific implementation procedure of the example in detail recognition methods.
Step S1 is first carried out to carry out obtaining palm print and palm vein image.Here palm print and palm vein figure is acquired by picture sampler
Picture can carry out light filling according to ambient brightness by LED light when acquisition, and carry out as desired by LED of specific wavelength etc.
The imaging radiation of blood vessel such as uses the infrared radiation blood vessel of infrared band, realizes blood vessel development.Specifically adopted in the present embodiment
Above-mentioned palm arteries and veins image is acquired with ccd image sensor, while palmprint image is shot by camera.Ccd image sensing
Device can emit infrared ray and form image by the weak reflection of the ferroheme of the red blood cell in vein blood vessel, so that camera is adopted
The vein image data of blood-collecting tube.Wherein, which can be acquired according to the variation of the wavelength of the infrared ray of transmission, be adopted
The vein blood vessel data of collection are the picture signals reflected positioned at the vein blood vessel of skin of palm of hand layer 2-5mm, obtain palm print and palm vein figure
Picture.
After obtaining palm print and palm vein image, step S2 is executed, palm print and palm vein image is pre-processed to obtain palm print and palm vein point
Butut.Here pretreatment specifically includes: after first carrying out wavelet de-noising processing to palm print and palm vein image, clearly being slapped arteries and veins
Image.Binary conversion treatment is carried out to the palm arteries and veins image after noise reduction process again, obtains digitized palm print and palm vein distribution map, this implementation
The palm arteries and veins figure of example is shown in Figure 2, slaps arteries and veins image at this time and is able to be indicated and store by digital signal, is convenient for subsequent number
Wordization processing and analysis.
Then, the node that step S3 demarcates palm arteries and veins in palm print and palm vein distribution map is executed, node here includes bifurcation
And endpoint.
Method when demarcating node specifically uses, and obtains each item palm arteries and veins image, moves towards corresponding Trendline according to palm arteries and veins and obtain
The Curvature varying for taking palm arteries and veins, bending/bifurcated position when Curvature varying mutation (as become larger or becoming smaller suddenly), corresponding to blood vessel
It sets, then catastrophe point at this time is bifurcation.In addition, node further includes the endpoint of blood vessel line.
In further preferred embodiment, before demarcating node, firstly, belonging to naturally in palm print and palm vein image according to palm
Property calibration cog region；Then the node in the cog region according to nodal community calibration palm arteries and veins.
Wherein, include: that identification finger and palm are bordered by position according to palm natural quality calibration cog region, take food therein
The interface point B and the third finger of finger and middle finger are as a reference point with the interface point A of little finger of toe, using the line as side after two reference point lines
Take square area as the characteristic area PIO (cog region) on palm, the cog region after extraction is shown in Figure 3.It is identified
Qu Houwei is convenient for subsequent processing, it is also necessary to carry out the simplification of topological structure using the basic theory of graph theory, obtain a width after simplifying
It is shown in Figure 4 comprising multiple nodes, that is, multiple sides topology diagram.Here, when taking finger and palm to be bordered by position, ginseng
Each finger is obtained according to the Curvature varying of the curve of palm profile and position that palm is bordered by, the biological property according to manpower is true
Determine cog region, in this way, the manpower of manpower or different angle for different characteristic, the characteristic area obtained is according to current
The cog region that the reference point of the palm pattern of sampling is made, this processing mode are not limited by the shooting angle of picture sampler
System, namely do not limited by the placed angle of manpower.For the image of the palm of the gathered person of different angle, can pass through
Processing obtains specific reference point biologically, and then identifies the specific characteristic area PIO, convenient for subsequent to quiet in the area
Arteries and veins trend carries out identification and topological analysis.
Wherein, nodal community includes: endpoint, triradius, right-angled intersection point.Wherein, triradius and right-angled intersection point belong to
In bifurcation.It is 1,3,4 in topology diagram corresponding to the angle value for being node.Due to for blood vessel, while having one
The case where 5 branches, is less on a point, thus the present embodiment does not consider that angle value is 5 node.But in other embodiments, if any need
It wants, nodal community setting and identification can also be carried out to nodes more than 5 branches.
Step S4 is executed again, establishes each palm arteries and veins and slaps the topological relation between the node on arteries and veins.
Specifically, step S4 further comprises:
Rectangular coordinate system is established in cog region；
Extract the endpoint of the palm arteries and veins in cog region；
The Distance Judgment of the two coordinate directions palm arteries and veins is fastened in the rectangular co-ordinate according to two endpoints of same palm arteries and veins
Trend；
Initial code is carried out to palm arteries and veins according to the trend of palm arteries and veins；
By the node on each item palm arteries and veins and secondary coding is carried out for node；
The initial code for slapping arteries and veins is combined with the secondary coding of corresponding node, obtains palm arteries and veins topological structure coding schedule
To characterize the topological relation of palm arteries and veins.
Corresponding diagram 5, the coordinate system of foundation are that reference point A, B constitutes x-axis, and the direction on the vertical side of line is y-axis therewith,
At this point, endpoint D, the E of identification on same palm arteries and veins, then take palm arteries and veins endpoint D, E accounting for relative to established coordinate system where it
With rectangular region a1, compare its side length in the direction of the x axis with after side length in the y-axis direction it is found that in its x-axis direction
Side length is greater than side length in the y-axis direction, then may determine that the trend of the palm arteries and veins laterally, to assign initial code for the palm arteries and veins
H1.In the case where there is the palm arteries and veins of Article 2 transverse direction, then continue as its assign initial code H2, and so on continue assign H3,
H4 etc..Have been assigned lateral initial code each palm arteries and veins can according to its in the cog region leftmost side or rightmost side endpoint relative to this
The fore-and-aft distance of A point (two vertex of B point or lower section also can) in one jiao of cog region of point such as Fig. 5 is successively sequenced, and is assigned
Give successively adjacent initial code.For example, the endpoint for laterally slapping arteries and veins right end in the present embodiment is located at the imparting number of lower side
For H1, it is followed successively by H2, H3, H4 etc. from left to right.
Similarly, it for such as slapping arteries and veins for any one, extracts the endpoint of the palm arteries and veins first by the above process, exists according to endpoint
The distance of different directions compares the size of its side length in the direction of the x axis and side length in the y-axis direction in cog region.Work as x-axis
Side length on direction is greater than side length in the y-axis direction, then judges the trend of the palm arteries and veins to be longitudinal, assign initial compile for the palm arteries and veins
Code Z1 then continues as it and assigns initial code Z2, if any 2 or more, then with such if any longitudinal palm arteries and veins more than Article 2
It pushes away and continues to assign Z3, Z4 etc..Have been assigned each palm arteries and veins of longitudinal initial code, similarly can according to its cog region most
Upside or lower side endpoint relative to one jiao of the cog region of point such as A point (two vertex of B point or lower section also can) laterally away from
From successively being sequenced, successively adjacent initial code is assigned, for example, longitudinal palm arteries and veins the lowermost endpoint is located at the tax of the leftmost side
Giving number is Z1, is followed successively by Z2, Z3, Z4 etc. from left to right.
After carrying out initial code, continue to record all nodes on the palm arteries and veins, with continued reference to Fig. 5, to palm arteries and veins H1, left and right
It include 3 nodes between endpoint D, E, respectively triradius I, four crunode J (namely cross node), four crunode K from right to left, then
It is respectively H1-A-C, H1-B-D, H1-C-D for three secondary codings of node distribution, wherein H1, which is represented, slaps arteries and veins belonging to node, in
Between letter represent which node, A is first, and B is second, and last letter represents the attribute of the node, and C is trident
Point, D are four crunodes.The initial code for slapping arteries and veins H1 and the secondary coding of the node on the palm arteries and veins are combined again, obtain palm arteries and veins
Topological structure coding: H1=(3, AC, BD, CD), wherein AC, BD, CD respectively correspond the secondary of three nodes of above-mentioned distribution and compile
Code.
And so on, obtain H2, H3 ..., the coding of Hn and the coding of Z1~Zm, n are the number of laterally palm arteries and veins, and m is
The number of longitudinal palm arteries and veins.
The n coding that laterally arteries and veins is slapped in the coding of palm arteries and veins and m longitudinal direction is formed into palm arteries and veins topological structure coding schedule, as identification
Topological relation data.The table directly characterizes the topological structure and its distribution trend of palm arteries and veins in an encoded form, thus ten
Divide clear.After palm arteries and veins topological structure coding schedule is stored as identification reference data, identification only needs to be compiled every time
The comparison of code table, the amount of storage and processing speed of data can greatly improve.
Finally, executing step S5, palm print and palm vein information is identified according to above-mentioned topological relation.It include: in topological relation
Different data preset matching weight is set, when identifying palm print and palm vein information, to reach preset matching weight then be to matching weight
With identifying successfully.Here weight refers to, it is contemplated that shoots shooting distance when slapping arteries and veins, shooting angle and video camera shooting level
Deviation, arteries and veins information is slapped in part can have small difference after topologizing, then when being matched according to the data of topological relation, is
Avoid slapping the same hand coding schedule that it is prestored it is with the data transformation of the coding schedule of currently processed generation consistent without
Identification, using weight, is considered as successful match after the data rate of coincideing reaches matching weight (the alternatively referred to as threshold value).
Certainly, since for topology diagram, there is also the token states of other forms, and such as laterally palm rapid pulse amount, bus are slapped
Rapid pulse amount etc. also may make up one group of coding, with the topological characteristic of the palm arteries and veins of different people for identification.And above-mentioned coding mode
Also it is not limited to directly adopt binary zero/1 numerical value using letter characterization nodes encoding and carry out data encoding, can also be used
Other letter, texts etc. are assigned in different nodes to be distinguished from each other.
In the embodiment of another deformation, above-mentioned initial code further includes inciting somebody to action for palm arteries and veins corresponding for node D, E
It continues to mark the second level blood vessel being attached thereto, this implementation as first order vessel on the basis of the first order vessel that identification obtains
Second level blood vessel example in example is with reference to the corresponding blood vessel of two nodes I, L in Fig. 5, to be connected with first order vessel, but is one
The branch vessel of grade blood vessel, therefore as second level blood vessel, it is encoded to H1-I L for it, i.e., adding again in H1 basis of coding should
The name of second level blood vessel or coding.Such as there is also branch vessels on second level blood vessel, then can continue to encode second level blood as needed
Three-level blood vessel on pipe, three-level blood vessel here are to continue the blood vessel shunted on second level blood vessel using second level blood vessel as trunk.According to
It is secondary to analogize, it can continue to encode the topological structures such as the level Four blood vessel on three-level blood vessel, the Pyatyi blood vessel on level Four blood vessel as needed
Vessel branch in the presence of figure.After being separately encoded to vessel branches at different levels, then the node on the blood vessel (palm arteries and veins) is successively marked,
The secondary coding based on the blood vessel is carried out to it, realizes the characterization to the overall structure coding of the blood vessel.Certainly, here
The exemplary only coding mode of number H1-I L, those skilled in the art can use the volume of other forms herein as needed
Code is such as directly indicated with 0/1 yard can be distinguished from each other on different bits at one group, or is only marked with number
Know.
Then in a preferred embodiment accordingly, the weight of step S5 can also be defined as the power influenced on different token states
Weight, coding and its influence to final structure of the coding of second level blood vessel for being for first order vessel are different, in step s 5 into
When row match cognization, the weight for being set as the coding of first order vessel is 90%, and the weight of the coding of second level blood vessel is 80%.This
It is meant that in final identification, it is more demanding to the identical rate of the matching of first order vessel, and the matching of the coding of second level blood vessel is kissed
The requirement of conjunction rate is lower, and this mode can fully take into account branch vessel may be due to shooting angle in sampling relative to Major Vessels
Degree or shooting distance influence and partial loss, and the gap of initial pictures is caused to last matching degree when avoiding due to this sampling
It influences, and then avoids invalid identification.
In another preferred embodiment, the method according to palm natural quality calibration cog region can be with are as follows: feeding refer to
The interface point of the interface point of middle finger, nameless and little finger of toe interface point and thumb and index finger takes three ginsengs as three reference points
The inscribed circle of examination point is as cog region.At this point, when carrying out the establishment of coordinate system in cog region, it equally can be with index finger and middle finger
As horizontal axis reference direction, direction normal thereto is then the longitudinal axis in the line direction of the interface point of interface point, the third finger and little finger of toe
Reference direction.It is set according to this direction, equally progress can be moved towards to the palm arteries and veins of all directions in circular cog region
Judgement and coding then encode the node on palm arteries and veins.Finally obtain the topological relation of palm arteries and veins in the circular cog region.
The exemplary only coding of above-mentioned coding form, those skilled in the art can be as needed using other forms
Coding structure is all contained in the scope of the present invention as long as it is analyzed and encoded based on topological structure.And the application
Attached drawing be only a kind of illustrative schematic diagram corresponding with vascular distribution, actual topology diagram can moreover be only simply
Side-relational graph (relationship between points only being identified, while being form of straight lines).In addition, above-mentioned various pieces are not being rushed
Can be bonded to each other in the case where prominent, improve after apply, belong in above-mentioned example scope of disclosure.
The present invention also provides a kind of palm print and palm vein pattern recognition device based on topological analysis, the device is for executing
The palm print and palm vein image-recognizing method stated.As shown in fig. 6, device provided in this embodiment specifically includes:
Image collection module 601, for obtaining palm print and palm vein image；
Image pre-processing module 602, for being pre-processed to obtain palm print and palm vein distribution map to the palm print and palm vein image；
Topological analysis module 603, for demarcating cog region according to palm natural quality in the palm print and palm vein distribution map,
The node of calibration palm arteries and veins in the cog region, the node includes bifurcation and endpoint；Right angle is established in the cog region
Coordinate system extracts the endpoint of the palm arteries and veins in the cog region, is fastened according to two endpoints of same palm arteries and veins in the rectangular co-ordinate
The trend of the Distance Judgment of the two coordinate directions palm arteries and veins carries out initial code to palm arteries and veins according to the trend of palm arteries and veins, each item is slapped arteries and veins
On node and carry out secondary coding for node, the initial code for slapping arteries and veins is combined with secondary encode of corresponding node,
Palm arteries and veins topological structure coding schedule is obtained to characterize the topological relation of palm arteries and veins；
Identification module 604, for identifying palm print and palm vein information according to the topological relation.
Here image collection module 601 includes picture sampler, or the combination including picture sampler and LED light.Figure
As samplers sample palm print and palm vein image, light filling can be carried out according to ambient brightness by the LED light of setting when acquisition, and according to
It needs to carry out the imaging radiation of blood vessel by LED of specific wavelength etc., such as uses the infrared radiation blood vessel of infrared band, realize
Blood vessel development.Wherein, picture sampler can be set as ccd image sensor as needed, dedicated for acquisition palm vessel graph.
And image pre-processing module, topological analysis module and identification module are respectively three functional modules pre-seted on controller,
Program, which is executed, by preset single-chip microcontroller executes corresponding function respectively.Due in the application, identification palm print and palm vein information is
What the topological relation (data) based on palm arteries and veins carried out, the data volume of required storage and processing is compared with traditional palm arteries and veins identification in amount
The reduction of grade, thus, which can be used MCU (micro-control unit), the miniaturization of realization device entirety.
Wherein, further preferred device further include: memory module, the module are used to store the personnel for being authorized to and prestoring
The topological relation for slapping arteries and veins, so that identification module 604 is stored the topological relation that topological analysis module 603 obtains and in memory module
Topological relation carry out matching identified.The memory module can be the storage equipment of the MCU memory carried or peripheral hardware, this hair
Bright concrete form when being applied to is without limitation.
In another preferred embodiment, the present invention also provides a kind of, and the palm print and palm vein image recognition based on topological analysis fills
It sets, which includes: picture sampler, for acquiring palm print and palm vein image；And
Micro-control unit obtains palm print and palm vein distribution map for being pre-processed to the palm print and palm vein image, and in institute
It states in palm print and palm vein distribution map and demarcates cog region according to palm natural quality, the node of calibration palm arteries and veins, institute in the cog region
Stating node includes bifurcation and endpoint；Rectangular coordinate system is established in the cog region, extracts the palm arteries and veins in the cog region
Endpoint fastens walking for the Distance Judgment palm arteries and veins of two coordinate directions in the rectangular co-ordinate according to two endpoints of same palm arteries and veins
To, initial code is carried out to palm arteries and veins according to the trend of palm arteries and veins, by the node on each item palm arteries and veins and carries out secondary coding for node, it will
The initial code for slapping arteries and veins is combined with the secondary coding of corresponding node, obtains palm arteries and veins topological structure coding schedule to characterize palm arteries and veins
Topological relation；And palm print and palm vein information is identified according to topological relation.When concrete application, palm print and palm vein is identified according to topological relation
After information, it is compared with the palm print and palm vein information prestored, to realize the identification to personnel identity.
The palm print and palm vein pattern recognition device based on topological analysis can according to need in security device, such as intelligence
Energy door lock, is identified by efficient palm print and palm vein, realizes personnel identity identification, and then carry out as needed according to personnel identity
Authorization unlocking or not authorization unlocking.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those skilled in the art in the technical scope disclosed by the present invention, to deformation or replacement that the present invention is done, should be covered
Within protection scope of the present invention.Therefore, protection scope of the present invention should be subject to the scope of protection of the claims.
Claims (9)
1. a kind of palm print and palm vein image-recognizing method based on topological analysis, which comprises the following steps:
S1: palm print and palm vein image is obtained；
S2: the palm print and palm vein image is pre-processed to obtain palm print and palm vein distribution map；
S3: demarcating cog region according to palm natural quality in the palm print and palm vein distribution map, and the palm is demarcated in the cog region
The node of arteries and veins, the node include bifurcation and endpoint；
S4: establishing rectangular coordinate system in the cog region, the endpoint of the palm arteries and veins in the cog region is extracted, according to same palm arteries and veins
Two endpoints the trend of the Distance Judgment of the two coordinate directions palm arteries and veins is fastened in the rectangular co-ordinate, according to the trend pair of palm arteries and veins
Slap arteries and veins and carry out initial code, by node that each item is slapped on arteries and veins and carry out secondary coding for node, will slap the initial code of arteries and veins with it is right
The secondary coding for the node answered is combined, and obtains palm arteries and veins topological structure coding schedule to characterize the topological relation of palm arteries and veins；
S5: palm print and palm vein information is identified according to the topological relation.
2. the palm print and palm vein image-recognizing method according to claim 1 based on topological analysis, which is characterized in that the step
Rapid S1 further comprises: acquiring the palm print and palm vein image using picture sampler.
3. the palm print and palm vein image-recognizing method according to claim 1 based on topological analysis, which is characterized in that the step
Pretreatment in rapid S2 includes: after carrying out wavelet de-noising processing to the palm print and palm vein image, then carries out binary conversion treatment, obtains
Digitized palm print and palm vein distribution map.
4. the palm print and palm vein image-recognizing method according to claim 1 based on topological analysis, which is characterized in that according to hand
Palm natural quality calibration cog region includes: that identification finger and palm are bordered by position, and feeding refers to the interface point and the third finger with middle finger
It is as a reference point with the interface point of little finger of toe, take square area as institute on palm using the line as side after two reference point lines
State cog region；Or feeding refers to and the interface point of middle finger, the nameless interface point conduct with the interface point and thumb and index finger of little finger of toe
Three reference points, take the inscribed circle of three reference points as the cog region.
5. the palm print and palm vein image-recognizing method according to claim 1 based on topological analysis, which is characterized in that the section
Point attribute includes: endpoint, triradius, right-angled intersection point.
6. the palm print and palm vein image-recognizing method according to claim 1 based on topological analysis, which is characterized in that the step
Rapid S5 further include: for the different data in the topological relation, preset matching weight is set, when identifying palm print and palm vein information, matching
It is match cognization success that weight, which reaches preset matching weight then,.
7. a kind of palm print and palm vein pattern recognition device based on topological analysis characterized by comprising
Image collection module, for obtaining palm print and palm vein image；
Image pre-processing module, for being pre-processed to obtain palm print and palm vein distribution map to the palm print and palm vein image；
Topological analysis module, for demarcating cog region according to palm natural quality in the palm print and palm vein distribution map, described
The node of calibration palm arteries and veins in cog region, the node includes bifurcation and endpoint；Rectangular coordinate system is established in the cog region,
The endpoint for extracting the palm arteries and veins in the cog region fastens two coordinate sides in the rectangular co-ordinate according to two endpoints of same palm arteries and veins
To the Distance Judgment palm arteries and veins trend, initial code is carried out to palm arteries and veins according to the trend of palm arteries and veins, each item is slapped into the node on arteries and veins
And secondary coding is carried out for node, the initial code for slapping arteries and veins is combined with the secondary coding of corresponding node, obtains palm arteries and veins
Topological structure coding schedule slaps the topological relation of arteries and veins to characterize；
Identification module, for identifying palm print and palm vein information according to the topological relation.
8. the palm print and palm vein pattern recognition device according to claim 7 based on topological analysis, which is characterized in that also wrap
It includes: memory module, for storing the topological relation for being authorized to the personnel that prestore and slapping arteries and veins, so that identification module is by topological analysis module
Obtained topological relation and the topological relation stored in memory module match being identified.
9. a kind of palm print and palm vein pattern recognition device based on topological analysis characterized by comprising
Picture sampler, for acquiring palm print and palm vein image；
Micro-control unit obtains palm print and palm vein distribution map for being pre-processed to the palm print and palm vein image, and in the palm
Line is slapped in arteries and veins distribution map and demarcates cog region according to palm natural quality, the node of calibration palm arteries and veins, the section in the cog region
Point includes bifurcation and endpoint；Rectangular coordinate system is established in the cog region, extracts the endpoint of the palm arteries and veins in the cog region,
The trend for fastening the Distance Judgment of the two coordinate directions palm arteries and veins in the rectangular co-ordinate according to two endpoints of same palm arteries and veins, according to
The trend for slapping arteries and veins carries out initial code to palm arteries and veins, by the node on each item palm arteries and veins and carries out secondary coding for node, will slap arteries and veins
Initial code is combined with the secondary coding of corresponding node, obtains palm arteries and veins topological structure coding schedule to characterize the topology of palm arteries and veins
Relationship, and palm print and palm vein information is identified according to the topological relation.
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| CN108073916B (en) * | 2018-01-24 | 2021-12-17 | 山东汇佳软件科技股份有限公司 | Palm print information collecting device |
| CN108960187A (en) * | 2018-07-20 | 2018-12-07 | 珠海格力电器股份有限公司 | Permission determination method and device |
| CN110598661A (en) * | 2019-09-19 | 2019-12-20 | 京麦智能科技(苏州)有限公司 | Palmprint and palmar vein acquisition system |
| CN112668412A (en) * | 2020-12-15 | 2021-04-16 | 深兰科技（上海）有限公司 | Two-dimensional code generation method and device, electronic equipment and storage medium |
| CN112560710B (en) * | 2020-12-18 | 2024-03-01 | 北京曙光易通技术有限公司 | Method for constructing finger vein recognition system and finger vein recognition system |
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