International Business Machines Corporation

Sharat Suresh Chikkerur

Nalini Kanta Ratha

Rudolf Maarten Bolle

Sharathchandra UmapathiRao Pankanti

Jonathan Hudson Connell, Ii

Jonathan Hudson Connell

Techniques for generating a distorted fingerprint representation for a given fingerprint image are provided. First, at least one fingerprint feature point from a given fingerprint image is selected. At least one representation of a region proximate to the selected fingerprint feature point is then generated. Next, the representation of the region proximate to the selected fingerprint feature point is distorted. The distortion comprises applying a random projection to the representation to generate a randomly projected representation of the region proximate to the selected fingerprint feature point. A distorted template is then formed, wherein the distorted template comprises the randomly projected representation of the region proximate to the selected fingerprint feature point.

Methods and apparatus for generation of cancelable fingerprint template

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.

Fingerprint representation using localized texture feature

The invention provides a method, system, and program product for transforming a multi-dimensional biometric feature point set. More particularly, the invention provides a method for transforming a biometric image using surface folding of the image. In one embodiment, the invention provides a method for transforming a multi-dimensional biometric feature point set, the method comprising: converting the multi-dimensional biometric feature point set to a canonical position and orientation; applying a non-invertible transform function to each of a plurality of points of the biometric feature point set; and providing a transformed biometric feature point set comprising a plurality of transformed points.

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Cambridge, MA, United States of America

Sharat Suresh Chikkerur