Abstract: A fingerprint imaging system includes an image capturing apparatus that includes an optical component having a sensing surface for placing a fingertip thereon, an inclined reflection surface that is connected to the sensing surface, and a light exit surface that is disposed opposite to the inclined reflection surface. The image capturing apparatus also includes a light source module for directing a light beam towards the sensing surface for scattering by a fingerprint of the fingertip placed on the sensing surface. The light source module, and the various surfaces of the optical component are disposed such that light scattered by a plurality of ridges of the fingerprint form a light component that is reflected to exit the optical component through the light exit surface. The image capturing apparatus further includes an imaging unit.

Abstract: A system and method for processing fingerprints includes representing each minutiae in a fingerprint by determining quantized Gabor coefficients to represent texture content of the minutiae. A distance is computed between represented minutiae and stored minutiae. The minutiae matches are ranked based on the distance to identify the fingerprint.

Abstract: A multi-biometric finger sensor may include an integrated circuit (IC) substrate for receiving a user's finger. The multi-biometric finger sensor may also include an optical source for projecting light of a known polarization angle onto the user's finger and at least one optical sensing pixel on the IC substrate for detecting a relative depolarization angle of the light reflected from the user's finger. The multi-biometric finger sensor may also include at least one other biometric finger sensing pixel on the IC substrate for sensing at least one other biometric characteristic from the user's finger.

Abstract: A finger sensing device may include a finger sensing area, at least one processing stage coupled to the finger sensing area and having at least one adaptively determined processing parameter, and a controller for spoof reduction. More particularly, the controller may determine a spoof attempt based upon a change in the at least one adaptively determined processing parameter. For example, the at least one adaptively determined processing parameter may include a feedback determined processing parameter. Accordingly, the finger sensing device has enhanced spoof reduction, since different materials, for example, will cause a change in an adaptive processing parameter and thereby indicate the attempted spoof.

Abstract: In a fingerprint matching processor which has an electrostatic capacity semiconductor sensor 14 for detecting fingerprint information based on electrostatic capacities between a plurality of detection electrodes 21 arranged on a semiconductor substrate 24 at a predetermined interval in a two dimensional manner and a target object, and which executes a fingerprint matching process for the detected fingerprint information, a water repellent film 30 is formed on a protective film 26, the protective film 26 protecting ground electrodes 22 that are disposed between the detection electrodes 21 and configured to ground the target object and the detection electrodes 21, and serves as a surface of the semiconductor sensor 14 for placement of the target object.

Abstract: An automated biometric submission and scanning system includes a scanner adapted for creating digital image files corresponding to biometrics, such as fingerprints. A computer, which can be standalone or linked to a network, receives the scanner output. The computer is programmed with an image enhancement program, which transforms the biometric image to an appropriate format for searching in one or more biometrics databases. An automated biometric submission and scanning method includes the steps of scanning a biometric image, enhancing the scanned image file, running a biometrics tracking program, selecting a biometrics database, complying with the database submission standards and submitting a biometrics database search.

Abstract: A fingerprint authentication device includes: a fingerprint acquisition section that acquires fingerprint image data; a fingerprint image correction processing section that corrects a pixel value by using a correction coefficient for making a first pixel value of the brightest pixel in a group of pixels at which an integrated value of a number of pixels at a dark portion side in a histogram becomes a predetermined proportion with respect to an integrated value of a number of all pixels, be a brighter second pixel value; a spectral data generation section that generates a spectral data matrix including directions of ridges of a fingerprint and a frequency of the fingerprint; a registered spectral data matrix archive section that archives a registered spectral data matrix; a fingerprint verification section that verifies the spectral data matrix and the registered spectral data matrix; and an authentication results output section that outputs results of authentication.

Abstract: A method, system and computer program product which allows identification of an enrollment biometric template having a highest probability of matching a sample biometric template from a plurality of enrolled biometric templates without compromising or significantly compromising system security. In one embodiment of the invention, first feature set information is derived from sample and enrollment biometric templates. The first feature set information generally comprises spatially dependent information associated with a fingerprint. The first feature set information is then used to determine which enrollment biometric template has the highest probability of matching the sample biometric template. Second feature set information is then derived from the biometric sample template and the determined enrollment biometric template and used to perform a one-to-one match. The second feature set information generally comprises pattern dependent information associated with a fingerprint.

Abstract: A biometrical feature inputting apparatus includes a 1-dimensional or quasi 1-dimensional image sensor. When a finger and the image sensor are relatively slid, a finger sliding guide keeps a finger and an effective pixel unit of the image sensor to a constant distance without any contact between them. An image processing section sequentially generates partial images by imaging emission light that is scattered inside the finger and then emitted from a skin surface of the finger by the image sensor during the relative motion of the finger and the image sensor and link the partial images to an image.

Abstract: The method aims at identifying a fake element (F1) reproducing a fake skin print positioned on the detection surface (13) of an optical device for detecting skin prints such as fingerprints. The method provides for sending (14) towards the abovementioned detection surface (13) an illumination beam (14) to be back-scattered and propagate through the fake element (F1) bearing the fake print. The beam in question is a shielded beam including an illuminated region (22) and a shielded region (23). A sensor (16) captures the shielded illumination beam after the back-scattering, generating a signal indicating the dimension (x0, x0?) of the transition region (24) between the illuminated region (22) and the shielded region (23) present in the shielded beam after the back-scattering. The possible presence of a fake element (F1) reproducing a fake skin print is identified when the abovementioned transition region (24) has a dimension larger than a given reference value (x0).

Abstract: A method of comparing a first representation of an identifier with a second representation of an identifier, for instance two fingerprints is provided. The method includes selecting a plurality of features in the first representation of an identifier, such as minutia, and linking each feature to one or more of the other features. The information on the features, such as is the minutia type, and on the link or links, such as distance, can then be expressed as a vector. By comparing the vector for the first representation with a vector for the second representation information on the possibilities for them having a common source can be obtained.

Abstract: The present invention relates to an image processing method, an image processing apparatus and an image processing program for dealing with inverted characters (outlined characters) constituted by white pixels on a black ground in a tree structure same as that of normal characters constituted by black pixels on a white ground. In the present invention, black pixel blocks and white pixel blocks are sampled recursively from a binary image, tree structure data indicating a positional relation between the sampled black pixel blocks and white pixel blocks is created, an inverted image is created by white-black-inverting the insides of black pixel blocks that can include inverted characters, of black pixel blocks included in the tree structure data, white pixel blocks and black pixel blacks are sampled from the created inverted image, and data regarding the sampled white pixel blocks and black pixel blocs is added to corresponding nodes of the tree structure data.

Abstract: A sectional image recognition method and a zonal recognition device are applied in a zonal fingerprint recognition device with small storage capacity.

Abstract: A biological information acquisition device that acquires information from a biological body by irradiating the biological body with light, the device comprises: a light source irradiating the biological body with light; a plurality of light receiving elements receiving one of passed light and reflected light from the biological body irradiated with light by the light source; and an inhomogeneous neutral density filter disposed on the plurality of light receiving elements and in a light path of one of passed light and reflected light. An optical transmittance of the inhomogeneous neutral density filter is set so that intensity of each light component received by light receiving elements is evened out as a whole.

Abstract: Provided is a stripe pattern image analysis device by which a burden of an appraiser regarding a new charting point searching designation operation can be reduced. The device includes a charting point modification element obtaining or modifying a first point located on a first stripe pattern image displayed in a first window, and a second point which is corresponding to the first point and located on a second stripe pattern image displayed in a second window; a nonlinear coordinate transformation element transforming the first stripe pattern image using a nonlinear coordinate transformation so that a first coordinate of the first point in the first window matches a second coordinate of the second point in the second window; and a charting figure edit and display element displaying the first stripe pattern image, transformed by the nonlinear coordinate transformation element by use of the nonlinear coordinate transformation, in the first window.

Abstract: An electronic device having a fingerprint identification system obtains a voltage graph of a fingerprint from pressed signals of a user logging in via a touch panel of the electronic device. The system detects fingerprint characteristic points in the voltage graph of the fingerprint of the user logging in, and computes fingerprint characteristic values according to the detected fingerprint characteristic points. The system further determines if the computed fingerprint characteristic values match original fingerprint characteristic values an authorized user, and validates the identification of the user logging in.

Abstract: A biometric processing system. The inventive system implements a novel algorithm for extracting a unique and repeatable code from a biometric image that includes acquiring a biometric image; detecting prominent features in the image; extracting a working area from the image for each detected prominent feature, wherein each working area is a portion of the image around the prominent feature; computing a plurality of parameters for each working area; and encoding the parameters to form an output code. In an illustrative embodiment for fingerprint identification, the prominent features are singularities, and the system defines a local reference system for each working area that is based on the location and orientation of the singularities. Topologically stable points such as minutiae are detected for each working area, and several parameters are then computed for each minutia relative to the local reference system.

Abstract: To suitably reduce data amount. For example, feature points from a branch point or an end point to the next branch point or an end point in a blood vessel line are set as a group. In the three feature points satisfying one of the condition that the absolute value of the outer product of vectors in continuous three feature points is smaller than an outer product threshold value, and the condition that a cosine in the above three feature points is smaller than a cosine threshold value, the middle one of the three feature points satisfying the other of the above conditions and being the smallest is eliminated, for every group.

Abstract: Various systems, methods, and programs embodied in computer-readable mediums are provided for fingerprint liveness detection. In one embodiment, a method for determining fingerprint liveness is provided that comprises receiving a plurality of image analysis data of a fingerprint image; condensing the plurality of image analysis data; and determining liveness of the fingerprint image based upon the condensed data.

Abstract: An image of an biometric part is used as encryption or decryption key. The biometric part image is obtained, and items within the biometric part are analyzed. Relationships between those parts are determined, (e.g. ratios) between different parameters of different parts. Those ratios are then used to form the key. A sequence of biometric information can be used in which case both the information itself and the sequence are used to form to the key.

Abstract: An image input apparatus that inputs an image of an object residing within a living body is disclosed. The image input apparatus includes a light source that irradiates near infrared light on the living body, a lens array arranged at a position facing the living body and including plural lenses each having a face with zero or negative power arranged at a side facing the living body and a face with positive power arranged at a side facing an image surface, an imaging unit arranged at the image surface side of the lens array that forms a compound-eye image corresponding to a collection of ommatidium images formed by the lenses of the lens array, and a reconstruction unit that reconstructs a single image from the compound-eye image using a parallax between the ommatidium images. The reconstructed single image is input as the image of the object.

Abstract: A biometrical feature inputting apparatus includes a 1-dimensional or quasi 1-dimensional image sensor. When a finger and the image sensor are relatively slid, a finger sliding guide keeps a finger and an effective pixel unit of the image sensor to a constant distance without any contact between them. An image processing section sequentially generates partial images by imaging emission light that is scattered inside the finger and then emitted from a skin surface of the finger by the image sensor during the relative motion of the finger and the image sensor and link the partial images to an image.

Abstract: A finger sensing device may include a finger sensing area to receive a user's finger moved in a sliding motion, and a controller cooperating with the finger sensing area for generating successive image samples. Moreover, the controller may also generate the displacement estimate of the user's finger by at least performing a plurality of different image sample correlations between at least one pair of image samples, and cross-verifying results of the plurality of different image sample correlations.

Abstract: According to the present invention, first, the first biometric information “a” is divided equally and biometric information “a” and biometric information “a?” are generated, the second biometric information “b” is divided equally and biometric information “b?” and biometric information “b?” are similarly generated. Then the biometric information “a?” that is the first half of the first biometric information “a” and the biometric information “b?” that is the first half of the second biometric information “b” are combined to generate one piece of biometric information 1 for a person. The biometric information “a?” that is the second half of the first biometric information “a”, and the biometric information “b?” that is the second half of the second biometric information “b”, are similarly combined to generate the other piece of biometric information 2 for the person. The biometric information 1 and 2 are stored and used for matching later.

Abstract: In one embodiment, biometric authentication, using fingerprints, handprints, retinal scans and voice recognition, may be used as a means of granting access to an individual, for example, to use a device or gain entry to a building, car, computer, airport, website, a bank account, execute a financial transaction, access a military installation, read or obtain confidential information, execute a legal agreement, authenticate a decision, or another entity. In another embodiment, biometric authentication can be used as an alternative to the use of a key or combination or as an additional form of authentication. Access may be in any of a number of forms. In one embodiment a collection of pairs of features from one biometric print is compared to another collection of pairs from another biometric print to determine whether biometric authentication is successful.

Abstract: A disclosed apparatus for forming a fingerprint image includes a partial sensor configured to obtain partial images of a fingerprint of a finger moving over the partial sensor; a reference image storing unit configured to store a reference partial image; and an image difference calculating unit configured to calculate a reference image difference between the reference partial image and a first partial image, to calculate a current image difference between the reference partial image and a second partial image, to calculate an amount of movement and/or a position of the finger based on a ratio of the current image difference to the reference image difference, and to store the second partial image and/or the first partial image as parts of the fingerprint image to be formed if the amount of movement and/or the position of the finger is equal to or greater than a predetermined value.

Abstract: Paper fingerprint information that represents a fiber pattern unique to a paper sheet is scanned, and the paper fingerprint information and its position information are embedded at two corners as the cater-cornered positions on a paper sheet. The paper fingerprint information is extracted based on the embedded position information.

Abstract: A method of simulating the effect of distortion on a representation of a marker, such as a fingerprint is provided. The method is useful for generating data for use in various processes concerned with fingerprints and particularly avoids the need to manually generate and collect such data. The method includes obtaining a plurality of representations from an individual, the representations being subject to different distortions relative to one another. A function, such as a thin plate spline function, is then used to describe the effects of the different distortions on the plurality of representations obtained. This generic model of the effects of distortion can then be used to generate distortions for a further representation from an individual, preferably another individual. The simulated distorted representations can be used in a variety of ways.

Abstract: An acquisition system for obtaining images of a fingerprint from a finger, or marks of another kind of target. The system may have two or more cameras positioned at different directions towards the target. Each camera may have a light source for illuminating the target from a direction different than that of the respective camera. The cameras may take sequences of images of the target at different focuses as the whole target might not be in focus in one image due to a depth of focus being less than the depth of the target. Portions of the images showing the target in focus may be cut from the images and stitched together to result in an image revealing virtually the whole target in focus. This target may be a fingerprint to be rolled out on or in a two dimensional medium for analysis, identification, storage, and so on.

Abstract: A method and system for verifying the continued presence of the same player at a gaming machine is provided. The system comprises a device for continuously obtaining verification data samples, wherein each verification data sample relates to one or more physical features of a first player. A subsequently obtained verification data sample is analyzed to determine whether it is substantially similar to a previously obtained verification data sample. If the subsequent verification data sample is substantially similar to the previously obtained verification data sample, then the system determines that the first player continues to be the same player present at the gaming machine.

Abstract: A method may be for operating a fingerprint matcher receiving reference fingerprint data. The fingerprint matcher may include a memory and a controller cooperating therewith. The method may include determining ridge flow direction magnitude values for each block of input fingerprint data using the memory and controller, and iteratively identifying blocks of the input fingerprint data in which the respective ridge flow direction magnitude values exceed an iteratively decremented threshold until reaching a stopping point thereby defining a final set of identified blocks of the input fingerprint data using the memory and controller. The method may also include determining a match between the reference fingerprint data and the final set of identified blocks of the input fingerprint data using the memory and controller.

Abstract: A system and method is provided that simultaneously or consecutively collects DNA samples and ridge and valley signatures from the same subject during the same collection window that adds value to forensic data collection processes. The collection of the DNA samples and ridge and valley signatures occur during the same collection window to assured the DNA sample and ridge and valley signatures identify the same individual.

Abstract: A system and method of authenticating fingerprints. A method of authenticating a fingerprint includes comparing a geometric shape of a scanned fingerprint to a corresponding geometric shape of a stored fingerprint. The geometric shape and the corresponding geometric shape are defined by vertices. The vertices are defined by minutiae points, while the vertices are spaced apart from the minutiae points.

Abstract: The biometric information input apparatus comprises a fingerprint sensor which detects biometric information, and moisture absorbing units and which are arranged adjacent to the fingerprint sensor and absorb moisture. The moisture absorbing units and have a groove structure which generates a capillary phenomenon. The fingerprint sensor is of the sweep type which scans biometric information through relative displacement with the finger, and is formed in parallel with the direction of relative displacement between the groove structure and the finger. The groove structure has a width smaller than the pitch of the ridges of an average fingerprint.

Abstract: An imaging module for biometrics authentication comprises: a light source irradiating a living body with light capable of passing through the living body; a prism having an incidence surface including an incidence area for taking in light emerging from the living body, two or more reflecting surfaces for reflecting the light taken in through the incidence area, and an outlet surface for outputting the light reflected by the reflecting surfaces; and a camera module including a lens for focusing the light emerging from the outlet surface of the prism and an image pickup device for converting the light focused thereon by the lens into an electric signal and outputting the electric signal.

Abstract: The system includes a 3D feature detection module and 3D recognition module 202. The 3D feature detection module processes 3D surface map of a biometric object, wherein the 3D surface map includes a plurality of 3D coordinates. The 3D feature detection module determines whether one or more types of 3D features are present in the 3D surface map and generates 3D feature data including 3D coordinates and feature type for the detected features. The 3D recognition module compares the 3D feature data with biometric data sets for identified persons. The 3D recognition module determines a match between the 3D feature data and one of the biometric data sets when a confidence value exceeds a threshold.

Abstract: To provide a noise eliminating apparatus and the like that can eliminate an atypical shaped background noise. A character noise eliminating apparatus includes a character noise area detecting device for detecting a character noise area which is an area corresponding to a character noise from an image, a density conversion area layer determining device for setting a plurality of density conversion area layers inside and outside the character noise area, and a density converting device for setting a neighboring pixel group within the same density conversion area layer as the density conversion area layer to which a target pixel belongs as a reference area of the target pixel, with respect to pixels in the density conversion area layers, and generating a density converted image applying a local image enhancement.

Abstract: A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow—containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.

Abstract: A method and apparatus is described for recording and digitizing intensity profiles (IP) of the papillary structure of the skin with high intensity resolution using sensors S with low intensity resolution. For this purpose, a plurality of digital image signals (DS, DS1, DS2) of an identical subarea e.g. of a fingerprint are recorded, whereby the continuous intensity domain (KI) of the fingerprint is scanned in different intensity resolutions, and/or different portions (A1, A2) of said continuous intensity domain (KI) are mapped to discrete intensity domains of the single digital image signals (DS, D1, DS2). By the pixelwise combination of all digital image signals (DS, DS1, DS2), a digital fingerprint image signal (PS) is finally produced whose discrete intensity domain (DI) represents a larger portion of the continuous intensity domain (KI) of the fingerprint and/or has a higher resolution intensity than each single one of the digital image signals (DS, DS1, DS2).

Abstract: A system and method is provided that simultaneously or consecutively collects DNA samples and ridge and valley signatures from the same subject during the same collection window that adds value to forensic data collection processes. The collection of the DNA samples and ridge and valley signatures occur during the same collection window to assured the DNA sample and ridge and valley signatures identify the same individual.

Abstract: A method and apparatus for obtaining, hashing, storing and using fingerprint data related to fingerprint minutia including the steps of: a) determining minutia points within a fingerprint, b) determining a plurality of sets of proximate determined minutia points, c) subjecting a plurality of representations of the determined sets of minutia points to a hashing function, and d) storing or comparing resulting hashed values for fingerprint matching.

Abstract: Features are extracted from a test and reference image to generate a test and reference record. Each feature has a location, and orientation, and furthermore, the features of the reference records also have associated weights. The features of the test record are approximately aligned with the features of the reference record. Then, differences between the locations and orientations of the features of the reference record and the features of the test record are measured, and the weights of all features of the reference record that are less than a predetermined difference when compared with the features of the test record are summed to determine a similarity score that the test record matches the reference record.

Abstract: A method and system for automating customer slamming and cramming complaints includes an automated reporting system having one or more receiving devices and a complaint module. Customers who want to report a slam or cram access the automated reporting system and report the complaint without having to speak with a customer service representative. The complaint module obtains the customer telephone number and retrieves customer account information using the customer telephone number. Using the customer account information, the complaint module extrapolates a type of complaint for the customer complaint and prompts the customer for information regarding the customer complaint and the type of the complaint. The customer provides customer responses to the prompts and the complaint module provides an indication to the customer regarding each customer response.

Abstract: A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow—containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.

Abstract: Additional information regarding a fingerprint is estimated, with a given level of confidence, on the basis of characteristics of a set of minutiae corresponding to this print. Local descriptors are determined around some at least of the minutiae, so that they comprise, in relation to zones comprising additional information estimated with the given confidence level, values calculated on the basis of said information and, in relation to zones not comprising such information, erasures. The local descriptors determined are quantized according to a given number of integer values, a value being reserved for erasures. The quantized local descriptors are coded with the aid of an error-tolerant coding algorithm associated with a decoding algorithm devised to take account of errors and erasures. And a pseudo-identity is determined on the basis of some at least of the coded quantized local descriptors.

Abstract: A computer program product comprising a computer readable medium carrying program instructions for verifying a fingerprint when executed using a computing system, the executed program instructions executing a method, the method: producing a test image of a fingerprint-under-test; producing a test ridge map from the test image and a reference ridge map from each of one or more reference fingerprint images; extracting fingerprint points of interest from the ridge maps; screening candidate reference ridge maps based upon a correspondence between the points of interest from the reference ridge maps and the points of interest from the test ridge map wherein the correspondence includes a first threshold and one or more candidate ridge maps having the correspondence within the first threshold are included in a set of candidate ridge maps; comparing local ridge data surrounding one or more points of interest of the test ridge map within a second threshold with local ridge data surrounding corresponding one or more po

Abstract: A personal identification device has: a light source portion that emits infrared light with a first wavelength at the time of reading a vein pattern, and emits infrared light with a second wavelength longer than the first wavelength at the time of reading a fingerprint pattern; a light receiving sensor portion that detects a component of the infrared light reflected from a fingertip after being shone thereon from the light source portion; an amplifying portion that amplifies a detection signal obtained by the light receiving sensor portion; an A/D converting portion that converts an analog signal obtained by the amplifying portion into a digital signal; a data distributing portion that distributes the digital signal obtained by the A/D converting portion into two groups of data, of which one is vein pattern data and the other is fingerprint pattern data; and a processing portion that verifies the identity of a person based on the vein pattern data and the fingerprint pattern data distributed by the data distr

Abstract: An authentication apparatus is provided to improve efficiency in the use of memory while maintaining the accuracy of authentication. The authentication apparatus includes: extraction means that extracts a plurality of points on an authentication target from an image obtained by shooting the authentication target unique to a living body; connection means that connects the points extracted by the extraction means; storage means that stores information indicating a connection state of the points being connected by the connection means and information indicating the points as authentication information; and reproduction means that reproduces, based on the authentication information in the storage means, the authentication target to be compared with the other.

Abstract: A fingerprint verification apparatus that adds chaff fingerprint information to real fingerprint information of a user and then, hides and stores the fingerprint information of the user with a polynomial generated by unique information of the individual, thereby safely protecting the important fingerprint information of the user stored in a storing unit from an external attacker and safely managing an private key using the fingerprint information when using the private key as the unique information for making the polynomial.

Abstract: A method for matching biometric data is disclosed. A biometric information source is sensed to provide an image thereof. The image is then analysed to extract features thereform. A feature is selected as a first feature and a plurality of polygons are generated with a location of the first feature as a vertex of each. The polygons are then used to search a lookup table in order to determine an orientation and translation of the image relative to stored reference data.