A chaincode based scheme for fingerprint feature extraction

Authors:
Zhixin Shi;Venu Govindaraju
Affiliations:
Center of Excellence for Document Analysis and Recognition (CEDAR), State University of New York at Buffalo, Amherst 14228, USA;Center of Excellence for Document Analysis and Recognition (CEDAR), State University of New York at Buffalo, Amherst 14228, USA
Venue:
Pattern Recognition Letters
Year:
2006

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Abstract

A feature extraction method using the chaincode representation of fingerprint ridge contours is presented. The representation allows efficient image quality enhancement and detection of fine minutiae feature points. The direction field is estimated from a set of selected chaincodes. The original gray-scale image is enhanced using a dynamic filtering scheme that takes advantage of the estimated direction flow of the contours. Minutiae are generated using ridge contour following.