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39 results about "Automated fingerprint identification" patented technology
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Automated fingerprint identification is the process of using a computer to match fingerprints against a database of known and unknown prints. Automated fingerprint identification systems (AFIS) are primarily used by law enforcement agencies for criminal identification purposes, the most important of which is the identification of a person suspected of committing a crime or linking a suspect to other unsolved crimes.
Wavelet-enhanced automated fingerprint identification system
A method and system for performing automated biological identification. The system including a preprocessing module with a histogram transform for locally and globally enhancing biological data such as fingerprints. An enhancement module with a fast smoothing and enhancement function. A feature extraction module with a fingerprint oriented thinning function. A matching module with a resolution-enhanced Hough transform function for fingerprint registration and matching score function.
Owner:NAT UNIV OF SINGAPORE
Methods and systems for automated fingerprint recognition
A method of identifying a donor of a fingerprint image exhibiting a pattern of minutiae. The method comprises deriving a donor index code and a donor match code associated with the donor fingerprint image. A database of records is accessed—each record being associated with an identity and indicative of a respective index code and a respective match code—in an attempt to identify at least one record for which the respective index code corresponds to the donor index code. Responsive to the attempt being successful, it is determined whether any of these “candidate” records includes a particular record for which the respective match code corresponds to the donor match code. Upon indeed determining that this is so for a particular record, an output is generated, such output being indicative of a conclusion that the donor of the fingerprint image has the identity associated with the particular record.
Owner:CHAU LAM KO
Methods and systems for automated fingerprint recognition
A method of identifying a donor of a fingerprint image exhibiting a pattern of minutiae. The method comprises deriving a donor index code and a donor match code associated with the donor fingerprint image. A database of records is accessed—each record being associated with an identity and indicative of a respective index code and a respective match code—in an attempt to identify at least one record for which the respective index code corresponds to the donor index code. Responsive to the attempt being successful, it is determined whether any of these “candidate” records includes a particular record for which the respective match code corresponds to the donor match code. Upon indeed determining that this is so for a particular record, an output is generated, such output being indicative of a conclusion that the donor of the fingerprint image has the identity associated with the particular record.
Owner:CHAU LAM KO
Wavelet-enhanced automated fingerprint identification system
A method and system for performing automated biological identification. The system including a preprocessing module with a histogram transform for locally and globally enhancing biological data such as fingerprints. An enhancement module with a fast smoothing and enhancement function. A feature extraction module with a fingerprint oriented thinning function. A matching module with a resolution-enhanced Hough transform function for fingerprint registration and matching score function.
Owner:NAT UNIV OF SINGAPORE
Automatic fingerprint distinguishing system and method based on template learning
InactiveCN1506903AAccurate extractionAccurate extraction and repairCharacter and pattern recognitionPattern recognitionTemplate based
The automatic fingerprint distinguishing method based on template learning includes the following steps: registering fingerprint figure and recording the fingerprint template and characteristic information of the fingerprint figure to be matched; distinguishing fingerprint figure to judge whether the characteristic information of the fingerprint figure is the same as that of some template information in the system data base; feeding back detail information in fingerprint figure via knowledge rule to perfect corresponding reliable detail points in templates. The present invention classifies detail points of fingerprint templates, records the kernel of classes, interval and other information and has one coarse matching link before common matching. The present invention can extract and repair the characteristic information of multiple templates, raise the distinction effect and performance of automatic fingerprint distinguishing system, and has important application in biological distinction.
Owner:CHIPONE TECH BEIJINGCO LTD
Method for detecting living body fingerprint based on thin plate spline deformation model
InactiveCN101226589AGuaranteed accuracyDeformation effectively describesCharacter and pattern recognitionPattern recognitionModel parameters
The invention discloses a living fingerprint verifying method based on a thin-plate spline deformable model, which collects and preprocesses the fingerprint sequence of a finger for verifying, registers the fingerprints before and after deformation, selects corresponding minutiae point pair to serve as the criterion point pair for estimating the thin-plate spline model, employs improved thin-plate spline model to describe deformation of fingerprints, computes the deformable energy of the fingerprint for verifying in each direction on the basis of model parameter to an overall bending energy vector, trains respectively on a true and a false fingerprint deformation base, obtains space distribution of the bending energy vector, respectively computes similarity from the bending energy vector for measuring to an eigen fuzzy set of true and false bending energies, and selects proper threshold value to obtain the verifying result. The invention can identify false fingerprint from the living fingerprint, effectively realizes living fingerprint verification in real-time, increases safety of automatic fingerprint verifying systems, enlarges the application range of automatic fingerprint verifying systems and has important application value in the field of biological character identification.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Methods and systems for automated fingerprint recognition
InactiveUS20080192994A1Character and pattern recognitionData miningAutomated fingerprint identification
A method of identifying a donor of a fingerprint image exhibiting a pattern of minutiae. The method comprises deriving a donor index code and a donor match code associated with the donor fingerprint image. A database of records is accessed—each record being associated with an identity and indicative of a respective index code and a respective match code—in an attempt to identify at least one record for which the respective index code corresponds to the donor index code. Responsive to the attempt being successful, it is determined whether any of these “candidate” records includes a particular record for which the respective match code corresponds to the donor match code. Upon indeed determining that this is so for a particular record, an output is generated, such output being indicative of a conclusion that the donor of the fingerprint image has the identity associated with the particular record.
Owner:CHAU LAM KO
Deformed fingerprint identification method based on local triangle structure characteristic collection
ActiveCN1912889ARestore ridge structureEliminate distractionsCharacter and pattern recognitionFeature vectorNormalized number
This invention relates to an identifying method for deformed fingerprints based on local triangle structure character set, on the basis of the character that relative deformation of fingerprint image is limit in local regions, which expresses fingerprints with a fuzzy character-local triangle structure character sets to convert the computation to integral similarity among fingerprints to similarity balance among character sets, first of all, which puts forward a fuzzy measurement method of similarity between two triangle structures then further makes up of a character vector composed of local similarities of all triangle structures then to map the pair of similarity vectors to a normalized number in the region of [0, 1] to quantize the integral similarity among fingerprint images to further get the matched result.
Owner:CHIPONE TECH BEIJINGCO LTD
Automatic fingerprint classification system and method
This invention relates to an automatic fingerprint identification and sorting system and method, which divides the fingerprint into six kinds: arch, sharp arch, left rotation, right rotation and whirl and singular and is based on the number of the fingerprint singular points and surround ridge line direction. The method comprises the following steps: to divide the fingerprint images into front area and back area through the dividing program; to form a block field image to the print image in the front area; to determine the position and direction of the singular points by use of block direction field; to divide the print into six kinds according to the number and direction of the singular points and the pre-set rules.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Fingerprint image quality evaluation method based on main component analysis
ActiveCN102567993AImprove performanceSimple methodImage analysisCharacter and pattern recognitionHat matrixPrincipal component analysis
The invention discloses a fingerprint image quality evaluation method based on main component analysis. The method comprises the following steps of: blocking an input fingerprint image; acquiring field pixel information of each pixel point in the image blocks, and forming a block sample matrix; acquiring a projection matrix and a characteristic value vector of the block sample matrix by a main component analyzing method; calculating characteristics for image block quality judgment from the projection matrix and the characteristic value vector; obtaining the local block quality of the image blocks by the multiplication rule; and obtaining the overall quality of the input fingerprint image through the combination of block Harris strength. The method is simple; a result is intuitive; the quality of the input fingerprint image can be accurately and quantitatively reflected by the method; and the high performance of automatic fingerprint identification technology is ensured by the method.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
System and method for recognizing analog fingerprint of twins based on partial structure
InactiveCN101154263AEasy to identifyEfficient identificationCharacter and pattern recognitionCrest lineLocal structure
The invention discloses a substructure-based twins similar fingerprint recognition system and a method. The recognition system comprises a preprocessor, a substructure template device, and a detailed point substructure matching device. The method comprises the following steps: preprocessing a collected fingerprint image and obtaining a refined image of the fingerprint; picking up crest line tip ends and forked detailed points P, constructing substructures based on the aggregate of the picked detailed points P, and generating a fingerprint template through assembling the substructures of the fingerprint; comparing the inputted fingerprint substructure template with fingerprint templates in a database, calculating the differentia of relative position and orientation parameters between substructures and judging whether two fingerprints are matched with each other. The invention adopts the detailed point substructures, thereby not only remarkably improving the twins similar fingerprint recognition performance of the automatic fingerprint recognition system, but also solving the problem of reduced recognition rate due to similar global features of two fingerprints and widening the application of the fingerprint recognition system in the special group of twins.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Quick fingerprint identification method based on strange topology structure
ActiveCN101145196AImprove the speed of comparisonReduce search areaCharacter and pattern recognitionPattern recognitionAlgorithm
The present invention discloses a rapid fingerprint identification method based on the singular point topology structure, and the rapid fingerprint identification method can fast process and identify the fingerprint images in the automated fingerprint identification system by using singular point topology structure in fingerprints. The present invention classifies the fingerprint database according to the classification property and position stability of the singular point in fingerprint images, and selects the most reliable singular point as a reference point to build the singular point topology structure of fingerprints and a module to identify; the present invention firstly detects the authenticity of singular points in a fingerprint image, and then classifies the database according to the relative position of singular points to build a topology structure adjacent to the singular point; and the topology structure can be used to build the fingerprint module to speed up the comparison process of the fingerprints; the rapid matching of fingerprints in the automated fingerprint identification system is a difficulty of the fingerprint recognition technology; the rapid fingerprint identification method, on one hand, can guarantee the recognition performance, on the other hand, can significantly improve the recognition speed of the automated fingerprint identification system, and can widen the scope of application; moreover, the method reforms the prior system slightly.
Owner:CHIPONE TECH BEIJINGCO LTD
Wavelet-enhanced automated fingerprint identification system
Owner:NAT UNIV OF SINGAPORE
Automatic fingerprint identification method
InactiveUS7085403B2Reliable identificationReduce capacityImage analysisIndividual entry/exit registersTemplate matchingThree-phase
The invention relates to an automatic fingerprint identification method. In the method according to the invention, identification is executed in three phases. In coarse alignment (32), fingerprints are compared using a few reference points. In fine alignment (33), coincidence of fingerprint minutiae are used to find the best fingerprint matching transformation. In the matching phase (34), individual minutiae of the fingerprint examined are matched against a known template. Parameters are computed from the matching minutiae and used in making the final identification.
Owner:RPX CORP
Image enhancement method in automatic fingerprint identification technology
InactiveCN102629316AImprove the definition of linesAdapting to the requirements of enhanced processingCharacter and pattern recognitionPattern recognitionGaussian function
The invention relates to a fingerprint identification method and a system thereof, relates to a fingerprint image enhancement method and discloses an image enhancement method in an automatic fingerprint identification technology. The method is characterized by: firstly, constructing a two-dimensional sine filter which has a consistent with a fingerprint; then, using a two-dimensional Gaussian function to carry out modulation on the two-dimensional sine filter so as to obtain a Gaussian modulation two-dimensional sine filter; and carrying out correction on the Gaussian modulation two-dimensional sine filter, constructing the filter which accords with an actual need of fingerprint image processing; using a frequency parameter and a direction parameter of each fingerprint image area to construct an appropriate enhancement template of the Gaussian modulation two-dimensional sine filter; finally carrying out convolution operation on the corresponding Gaussian modulation two-dimensional sine filter template and the corresponding fingerprint image area, carrying out enhancement processing on the fingerprint image, and carrying out normalization processing on an enhancement result so as to obtain the final enhancement fingerprint image.
Owner:ZHEJIANG INT STUDIES UNIV
Automatic distorted fingerprint detecting method
InactiveCN103020610AImprove compatibilityCharacter and pattern recognitionPattern recognitionComputer vision
The invention provides an automatic distorted fingerprint detecting method. The automatic distorted fingerprint detecting method includes subjecting a fingerprint image to ridge line circle analysis, acquiring circle standard difference of the fingerprint image, analyzing direction field information of the fingerprint image, acquiring normal curvature average value and tangent curvature average value of the fingerprint image; integrating the circle standard difference, the normal curvature average value and the tangent curvature average value to obtain torsion resistance of the fingerprint image. Distorted fingerprint is hard to identify by existing automatic fingerprint identification technology, while the automatic distorted fingerprint detecting method only needs one distorted fingerprint image to judge distortion degree and has the advantages of good compatibility, low data demands and convenience in algorithm.
Owner:TSINGHUA UNIV
Automatic fingerprint identifying technology under verification mode
InactiveCN1484189AThorough refinementFully detailedCharacter and pattern recognitionAlgorithmDirection information
The invention discloses a kind of automatic fingerprint recognition technology under confirmation pattern, especially points to the problem that the picture has bifurcation which is not thinned completely and has burrs after the improved OPTA algorithm is thinned. The incomplete thin is caused by incomplete eliminating of template, thus the invention constructs eliminate template and the retention template to process the situation. The burr is generated by the asymmetry of retention template, thus, on base of the 6 retention templates of improved OPTA algorithm, reduces the templates which have upwards, leftwards and rightwards burrs, and eliminates the burrs. The invention also proposes a new method for withdrawing the fingerprint picture direction information with multistage division.
Owner:NANJING UNIV +1
Fingerprint direction field calculation method based on improved partial differential model
ActiveCN104680148AAccurate calculationEasy to distinguishCharacter and pattern recognitionAlgorithmPartial differential equation
The invention discloses a fingerprint direction field calculation method based on an improved partial differential model, and belongs to the technical field of automatic fingerprint recognition. The fingerprint direction field calculation method mainly comprises two steps: I, solving an initial direction field of fingerprint by using a basic gradient algorithm; II, smoothing the initial direction field by using the improved partial differential model. The fingerprint direction field calculation method mainly aims to improve holding items of a conventional partial differential model, that is, firstly, the situation that the initial direction field in the conventional model is taken as holding standard is improved into the situation that the direction field of previous iteration is taken as the holding standard, and secondly, a static capture singular point function in the conventional model is improved to be a dynamic capture singular point function. By adopting the fingerprint direction field calculation method disclosed by the invention, noise areas and singular point areas can be effectively distinguished, the algorithm is relatively reasonable, the iteration times can be effectively reduced, the algorithm efficiency can be improved, and the direction field can be relatively accurately calculated.
Owner:邳州市鑫盛创业投资有限公司
Low-quality fingerprint image direction field extraction method based on diffusion equation
InactiveCN102609705AOvercome the disadvantage of poor calculation effectPromote resultsCharacter and pattern recognitionPattern recognitionPhoton diffusion equation
The invention discloses an fingerprint image direction field calculation method in an automatic fingerprint identification system. The fingerprint image direction field calculation method adopts a GVF-model based method and comprises the following steps: (1) inputting a fingerprint image; (2) calculating the gradient distribution, the quality score and the crack mask of the input fingerprint image; (3) judging the fingerprint quality, carrying out the step (4) if the fingerprint quality is bad, or carrying out the step (5) if the fingerprint quality is not bad; (4) actuating the crack mask and the initial GVF (gradient vector flow) field V0, and omitting the noise data in a crack region; (5) diffusing the initial GVF field V0 rapidly and smoothly, and taking the diffused GVF field as the Vcoarse; (6) calculating the distribution theta corse (x, y) of the direction field of the fingerprint by using the Vcoarse, detecting a singular point, and obtaining a singular region mask MSingulsr; (7) mending the Vcoarse of a singular region by using a GGVF (general gradient vector flow) model to obtain a final GVF field VFine; and (8) calculating the final direction field theta (x, y). The method overcomes the detects of poor low-quality background region image calculation effect of the prior art and achieves good low-quality fingerprint image calculation effect and the good result of obtaining the direction filed in the fingerprint background region.
Owner:XIDIAN UNIV
Selective extension-based fingerprint image matching method
ActiveCN107679494AComprehensive feature extractionImprove accuracyImage analysisMatching and classificationFeature extractionFingerprint
The present invention belongs to the digital image processing technical field and discloses a selective extension-based fingerprint image matching method. According to the method, small fingerprint image matching is carried out by using small node and directional field information; fingerprint blocks with small nodes and fingerprint blocks without small nodes are considered differently through extending the functions of directional fields, so that feature extraction is realized; and matching scores are fused, so that the extracted features of small fingerprints can be fully applied. With the method adopted, more comprehensive feature extraction can be realized. Since the matching scores are fused, the extracted features of the small fingerprints can be fully applied, and accuracy can be improved. The method can accurately match the small nodes of fingerprints and can be used in an automatic fingerprint identification system.
Owner:XIDIAN UNIV
System and method for identification of fingerprints
ActiveUS9342731B1Improve responseResponse requirements are lowImage enhancementCharacter and pattern recognitionPattern recognitionCo ordinate
A method for automated fingerprint identification and special purpose programmed computer for carrying out the method are disclosed. The method and system comprise identifying a scar region in a set of pixels in a fingerprint image by using a second order Gaussian derivative filter parameterized using standard deviation, wherein the scar region has a width greater that the width of a regular ridge or a valley of separation between ridges; wherein a boundary, intensity, and flow direction of each pixel is calculated; each pixel being connected to a next adjacent pixel using flow co-ordinates and flow directions; wherein the Gaussian derivative filter has an output and the output is thresholded to create an output mask with value=1 at the scar regions and value=0 outside the scar regions; and changing the intensity of pixels in the identified scar region with the intensity of the nearest boundary pixel until the intensities of all the pixels in the scar region are changed to the intensity of their flow direction identified boundary pixels.
Owner:EFFAT UNIVERSITY
Quick fingerprint identification method based on strange topology structure
ActiveCN101145196BImprove the speed of comparisonReduce search areaCharacter and pattern recognitionPattern recognitionMachine learning
Owner:CHIPONE TECH BEIJINGCO LTD
Fingerprint image representation method based on a variety of feature points
InactiveCN106339678ALarge amount of informationImprove the lack of informationCharacter and pattern recognitionFeature point matchingImage pre processing
The invention provides a fingerprint image representation method based on a variety of feature points, which is applied to small-area fingerprint image recognition and belongs to the technical field of automatic fingerprint recognition. The method comprises the steps of image preprocessing, feature point extracting and feature point matching. In view of the defect that a small-area fingerprint contains less information, an image representation method based on a variety of fingerprint feature points is put forward. Fingerprint feature points are divided into two categories, wherein the center point, bifurcation points and endpoints of a fingerprint are classified to a first category, and ridge line points near the bifurcation points are classified to a second category. Then, fingerprint matching is performed by making comprehensive use of a variety of information of fingerprint feature points. By using the method put forward by the invention, the number of fingerprint feature points and the amount of useful fingerprint feature information are increased, and the accuracy of small-area fingerprint recognition can be improved greatly.
Owner:SHANGHAI JIAO TONG UNIV
Fingerprint frame line filtering method
InactiveCN101286194AHigh densityEliminate the effects ofCharacter and pattern recognitionPattern recognitionBand-stop filter
The invention relates to a fingerprint image frame line deletion method, which pertains to the digital image processing and fingerprint identification technical fields. The filtering method is characterized in that: an image with the size of m multiplied by n is firstly carried out the band-stop filter pre-treatment, the image after the pre-treatment is carried out the binary processing, two windows with the size of m multiplied by 9 and 9 multiplied by n are used for scanning the whole image along the longitudinal direction and the transverse direction, the minimum value of the sums of rows of pixels is calculated within the window field with the size of m multiplied by 9, the minimum value of the sums of lines of pixels is calculated within the window field with the size of 9 multiplied by n, the filling of the image is carried out according to the values and the deletion of the image frame lines is completed. The deletion method has the advantages that: the deletion method is applicable to the removal of an interference which is generally existed in an automatic fingerprint identification system, thus allowing the automatic fingerprint identification to be more accurate.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Fingerprint Image Registration Method Based on Global Information
InactiveCN104834923BHigh precisionHigh speedMatching and classificationPattern recognitionTime complexity
Owner:XIDIAN UNIV +1
Fingerprint feature construction method based on minutiae
InactiveCN104361325AImprove accuracyImprove operational efficiencyCharacter and pattern recognitionPattern recognitionSystem call
The invention relates to a fingerprint feature construction method based on minutiae, and belongs to the technical field of the automatic fingerprint recognition. The method is used for obtaining minutia pairs in the fingerprint matching process and includes the first step of preprocessing a fingerprint image, the second step of establishing a right-angle coordinate system called RCS and determining the directions of the coordinate system, the third step of defining and finding the effectively minutiae belonging to the RCS coordinate system, and the fourth step of calculating the number of regression lines related to the effective minutiae and conducting inspection. The method has the advantages that by means of the features, the features of the minutiae and the regression line information related to the minutiae are combined, and the reliability of the extracted features is improved; the directions of the coordinate system are determined, and the anti-rotation performance of the algorithm can be effectively improved; the method for calculating the number of the regression lines is described in details and achieved, and the inspection shows that the calculation result is quite accurate; only the features of the minutiae belonging to the RCS coordinate system are extracted, the number of the extracted features of the minutiae is reduced, and the running efficiency of the algorithm is improved.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Image enhancement method in automatic fingerprint identification technology
InactiveCN102629316BAdaptableQuality improvementCharacter and pattern recognitionPattern recognitionGaussian function
Owner:ZHEJIANG INT STUDIES UNIV
Automatic fingerprint classification system and method
This invention relates to an automatic fingerprint identification and sorting system and method, which divides the fingerprint into six kinds: arch, sharp arch, left rotation, right rotation and whirl and singular and is based on the number of the fingerprint singular points and surround ridge line direction. The method comprises the following steps: to divide the fingerprint images into front area and back area through the dividing program; to form a block field image to the print image in the front area; to determine the position and direction of the singular points by use of block direction field; to divide the print into six kinds according to the number and direction of the singular points and the pre-set rules.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Fingerprint image quality evaluation method based on main component analysis
ActiveCN102567993BImprove performanceSimple methodImage analysisCharacter and pattern recognitionHat matrixPrincipal component analysis
The invention discloses a fingerprint image quality evaluation method based on main component analysis. The method comprises the following steps of: blocking an input fingerprint image; acquiring field pixel information of each pixel point in the image blocks, and forming a block sample matrix; acquiring a projection matrix and a characteristic value vector of the block sample matrix by a main component analyzing method; calculating characteristics for image block quality judgment from the projection matrix and the characteristic value vector; obtaining the local block quality of the image blocks by the multiplication rule; and obtaining the overall quality of the input fingerprint image through the combination of block Harris strength. The method is simple; a result is intuitive; the quality of the input fingerprint image can be accurately and quantitatively reflected by the method; and the high performance of automatic fingerprint identification technology is ensured by the method.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
A Fingerprint Registration Point Extraction Method Based on Central Singular Point
ActiveCN107368780BGood registration effectIncreased registration accuracyCharacter and pattern recognitionThresholdingFiducial points
The invention belongs to the technical field of fingerprint registration point extraction, and discloses a fingerprint registration point extraction method based on a central singular point, which calculates the index value PI of all pixels in the singular point area 1 (i,j) and PI 2 (i,j), according to the index value, find the block where the central singular point appears, and take the geometric center of the block center as the registration point; if there is no central singular point, use the descending iteration method to find the convergence point of the ridge line, and use the convergent point As a registration point; find the initial point of iteration, find four equidistant points around the initial point, find the nearest ridge line of each point, and make a vertical line on the ridge line, get the intersection point of the vertical line, as the next iteration point ; If the Euclidean distance between the initial iteration point and the new iteration point is less than a certain threshold, the iteration ends, and the new iteration point is the reference point; otherwise, the new iteration point is used as the initial point to continue the iteration. The invention can quickly and accurately calculate the coordinates of the fingerprint registration point, and can be used in an automatic fingerprint identification system.
Owner:XIDIAN UNIV
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