Abstract: A system and method for inpainting areas in a fingerprint image is provided. The method includes the steps of dividing a fingerprint image into a plurality of image blocks (506) and computing a plurality of block scores for the plurality of image blocks (508). The method also includes generating a blur matrix for the fingerprint image based on the plurality of block scores (510). The method further includes deriving an inpaint region (IR) matrix for the fingerprint image based on a weighting function and the blur matrix, the IR matrix identifying a portion of the plurality of image blocks for inpainting (512, 514).

Abstract: A geospatial modeling system may include a geospatial model data storage device, and a processor cooperating with the geospatial model data storage device for merging first and second geospatial data sets for corresponding first and second geospatial regions. The processor may be for generating seam-smoothed geospatial data for a corresponding selected geospatial region between adjacent portions of the first and second geospatial regions by applying Poisson's equation to data from at least one of the first and second geospatial data sets for the selected geospatial region using boundary conditions based upon data along corresponding interfaces between the selected geospatial region and adjacent portions of the first and second geospatial regions.

Abstract: A geospatial modeling system may include a geospatial model data storage device and a processor cooperating with the geospatial model data storage device for inpainting seam-smoothed, void-fill data into a void in a geospatial data set for a geospatial region. The processor may select raw void-fill data from the geospatial data set, and generate the seam-smoothed, void-fill data by applying Poisson's equation to the raw void-fill data using boundary conditions based upon data along a corresponding interface between the void region and adjacent portions of the geospatial region.

Abstract: A geospatial modeling system may include a geospatial model data storage device, and a processor cooperating with the geospatial model data storage device for merging first and second geospatial data sets for corresponding first and second geospatial regions. The processor may be for generating seam-smoothed geospatial data for a corresponding selected geospatial region between adjacent portions of the first and second geospatial regions by applying Poisson's equation to data from at least one of the first and second geospatial data sets for the selected geospatial region using boundary conditions based upon data along corresponding interfaces between the selected geospatial region and adjacent portions of the first and second geospatial regions.

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 computer system for registering synthetic aperture radar (SAR) images includes a database for storing SAR images to be registered, and a processor for registering SAR images from the database. The registering includes selecting first and second SAR images to be registered, individually processing the selected first and second SAR images with an anisotropic diffusion algorithm, and registering the first and second SAR images after the processing. A shock filter is applied to the respective first and second processed SAR images before the registering. Elevation data is extracted based on the registered SAR images.

Abstract: A fingerprint processing system may include a fingerprint database for storing fingerprint data having at least one void therein. At least one processor may cooperate with the fingerprint database for inpainting data into the at least one void in the fingerprint data based upon propagating fingerprint contour data from outside the at least one void into the at least one void.

Abstract: A method and system for synthesizing multiple fingerprint images into a single synthesized fingerprint template. Sets of features are extracted from each of three or more fingerprint images. Pair-wise comparisons identifying correspondences between sets of features are performed between each set of features and every other set of features. Transformations (translation and rotation) for each set of features are simultaneously calculated based on the pair-wise correspondences, and each set of features is transformed accordingly. A synthesized fingerprint template is generated by simultaneously registering the transformed sets of features.

Abstract: Systems and methods for secure communications in a communications network (100), including a server (102) and a client device (104a, 104b), are provided. A method includes transmitting a communications session request from the client device to the server (304), the session request including an in-situ biometric code associated with a biometric sample of a user. The method also includes separately comparing at the server and the client device the in-situ biometric code and an associated canonical biometric code based on comparison criterion (208, 310), the canonical biometric code representing a biometric reference for the user. The method also includes generating an encryption key at the server and at the client device based on the in-situ and canonical biometric codes (218, 314). The method further includes establishing an encrypted communications session between the server and the client device if the in-situ biometric code meets comparison criteria at the server and at client device (220, 316).

Abstract: A system and method for inpainting areas in a fingerprint image is provided. The method includes the steps of dividing a fingerprint image into a plurality of image blocks (506) and computing a plurality of block scores for the plurality of image blocks (508). The method also includes generating a blur matrix for the fingerprint image based on the plurality of block scores (510). The method further includes deriving an inpaint region (IR) matrix for the fingerprint image based on a weighting function and the blur matrix, the IR matrix identifying a portion of the plurality of image blocks for inpainting (512, 514).

Abstract: A geospatial modeling system may include a geospatial data storage device, and a processor cooperating with the geospatial data storage device for selectively inpainting data into at least one void in geospatial model data using a partial differential equation (PDE) algorithm and an exemplar algorithm.

Abstract: A method and system for reconstructing iris scans for iris recognition is provided. A plurality of iris collection images of an iris is received. A single iris image of the iris is reconstructed using at least two of the plurality of iris collection images. Mosaicing may be used to combine at least two of the plurality of iris collection images into a single iris image. Inpainting methods, including PDE-based and exemplar-based techniques, may also be used to fill in area of missing information in an iris image.

Abstract: A method and system for fingerprint template synthesis from multiple fingerprint images is provided. A first set of minutiae points is extracted from a first fingerprint image. A second set of minutiae points is extracted from a second fingerprint image. The orientation is calculated for a plurality of minutiae points selected from the first set of minutiae points based on the first fingerprint image. Simulated points are added to the first set of minutiae points, wherein simulated points are created based on the location and orientation of minutiae points in the plurality of minutiae points. The first set of minutiae points and the second set of minutiae points are registered and the first set of minutiae points and the second set of minutiae points are combined.

Abstract: A geospatial modeling system may include a geospatial model database and a processor. The processor may cooperate with the geospatial model database for inpainting data into at least one void in geospatial model terrain data based upon propagating contour data from outside the at least one void into the at least one void.

Abstract: A geospatial modeling system may include a geospatial model database and a processor. More particularly, the processor may cooperate with the geospatial model database for inpainting data into at least one void in geospatial model frequency domain data based upon propagating contour data from outside the at least one void into the at least one void, and for converting the geospatial model frequency domain data after inpainting into geospatial model spatial domain data.

Abstract: A geospatial modeling system may include a geospatial model database having stored therein an initial three-dimensional (3D) model of a geographical area, and an initial image for the geographical area. The initial image may have actual shadow portions. The geospatial modeling system may also include a processor cooperating with the geospatial model database and configured to generate estimated shadow portions for the initial 3D model, generate a shadow difference between the estimated shadow portions and the actual shadow portions, and reduce the actual shadow portions of the initial image based upon the shadow difference to generate a corrected image.

Abstract: A geospatial modeling system may include a geospatial model database and a processor. More particularly, the processor may cooperate with the geospatial model database for inpainting data into at least one void in geospatial model cultural feature data based upon propagating contour data from outside the at least one void into the at least one void.

Abstract: A computer system for processing complex synthetic aperture radar (SAR) images includes a database for storing complex SAR images to be processed, and a processor for processing a complex SAR image from the database. The processing includes receiving a complex SAR data set for a SAR image comprising a plurality of pixels, and applying a complex anisotropic diffusion algorithm to the complex SAR data set. The complex SAR data set includes a real and an imaginary part for each pixel.

Abstract: A computer system for compressing synthetic aperture radar (SAR) images includes a database for storing SAR images to be compressed, and a processor for compressing a SAR image from the database. The compressing includes applying an anisotropic diffusion algorithm to the SAR image, and compressing the SAR image after applying the anisotropic diffusion algorithm thereto. Applying the anisotropic diffusion algorithm includes determining noise in the SAR, selecting a noise threshold for the SAR image based on the determined noise, and mathematically adjusting the anisotropic diffusion algorithm based on the selected noise threshold.

Abstract: A computer system for decompressing synthetic aperture radar (SAR) images includes a database for storing SAR images to be decompressed, and a processor for decompressing a SAR image from the database. The decompressing includes receiving the SAR image, performing a dynamic range compression on the SAR image, and quantizing the compressed SAR image. The quantized compressed SAR image is then decompressed by applying an anistropic diffusion algorithm thereto.