FEATURE EXTRACTION AND MATCHING FOR BIOMETRIC AUTHENTICATION

摘要

In a feature extraction and pattern matching system, image sharpening can enable vascular point detection (VPD) for detecting points of interest from visible vasculature of the eye. Pattern Histograms of Extended Multi-Radii Local Binary Patterns and/or Pattern Histograms of Extended Multi-Radii Center Symmetric Local Binary Patterns can provide description of portions of images surrounding a point of interest, and enrollment and verification templates can be generated using points detected via VPD and the corresponding descriptors. Inlier point pairs can be selected from the enrollment and verification templates, and a first match score indicating similarity of the two templates can be computed based on the number of inlier point pairs and one or more parameters of a transform selected by the inlier detection. A second match score can be computed by applying the selected transform, and either or both scores can be used to authenticate the user.

主权项

1. A computer-implemented method comprising:
obtaining a sharpened image based on a plurality of images, at least one image in the plurality comprising an image of a vascular structure; detecting a plurality of vascular points in the sharpened image; for each of a plurality of the detected vascular points, generating a respective plurality of different local image descriptors, wherein generating the respective plurality of local image descriptors comprises computing at least one of: (i) a pattern histogram of extended multi-radii local binary patterns (PH-EMR-LBP) of an image region surrounding the detected vascular point, and (ii) a pattern histogram of extended multi-radii center-symmetric local binary patterns (PH-EMR-CS-LBP) of an image region surrounding the detected vascular point, computing both the PH-EMR-LBP and PH-EMR-CS-LBP comprising tiling a selected neighborhood region into overlapping sub regions; and generating a template comprising a plurality of the vascular points and their respective local image descriptors.