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Feature extraction for fingerprint classification

Rao, T C Malleswara (1976) Feature extraction for fingerprint classification. In: Pattern Recognition, 8 (3). pp. 181-192.

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This paper presents two algorithms for smoothing and feature extraction for fingerprint classification. Deutsch's(2) Thinning algorithm (rectangular array) is used for thinning the digitized fingerprint (binary version). A simple algorithm is also suggested for classifying the fingerprints. Experimental results obtained using such algorithms are presented.

Item Type: Journal Article
Publication: Pattern Recognition
Publisher: Elservier sciecne
Additional Information: Copyright of this article belongs to Elsevier science
Keywords: Fingerprint; Smoothing; Thinning; Feature extraction; Classification
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 09 Dec 2009 10:19
Last Modified: 09 Dec 2009 10:19
URI: http://eprints.iisc.ac.in/id/eprint/24300

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