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2004

Robust Fingerprint Classification Using An Eigen Block Directional Approach

11 years 9 months ago
Robust Fingerprint Classification Using An Eigen Block Directional Approach
This paper describes a method of fingerprint classification using Eigen Block Directional Fingerprints. The method we propose dispenses off with the preprocessing stages such as segmentation, binarisation, thinning etc. We determine the block directional representation of a fingerprint and the location of the core points in a set of template fingerprints which belong to the same class. In the next step, we determine the most prominent eigen vectors of each template, which we term as the Eigen Block Directional Fingerprints. To determine the classification of a fingerprint, we extract the Block Directional Fingerprint of the query image and determine the alignment parameters between the template and the query images using eigen tracker which minimises the robust error. We declare the class of the query image as the class of the Eigen Block Directional Fingerprint which result in the least robust error norm.
P. Madhusoodhanan, Sumantra Dutta Roy
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where ICVGIP
Authors P. Madhusoodhanan, Sumantra Dutta Roy
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