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Proceedings Paper

Analysis and matching of degraded and noisy fingerprints
Author(s): Emre Kaymaz; Sunanda Mitra
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Paper Abstract

The present work reports a three stage matching algorithm for latent fingerprints. The algorithm includes preprocessing by a transform domain filter, computation of moments as invariant features and finally, use of a nearest neighbor clustering analysis for fingerprint matching. The transform domain filter involves selective amplification of the spectral band containing the highest energy, and subsequent use of a band-pass filter. The enhanced image is almost noise-free, and shows prominent features in the fingerprint that cannot be extracted by other conventional enhancement techniques. The moments of enhanced fingerprints provide invariant features. The classification of fingerprints is performed by a nearest neighbor clustering of the moment features characterizing a specific fingerprint.

Paper Details

Date Published: 12 January 1993
PDF: 12 pages
Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139096
Show Author Affiliations
Emre Kaymaz, Texas Tech Univ. (United States)
Sunanda Mitra, Texas Tech Univ. (United States)


Published in SPIE Proceedings Vol. 1771:
Applications of Digital Image Processing XV
Andrew G. Tescher, Editor(s)

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