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Proceedings Paper

Statistical method for segmentation of fingerprint images for an image retrieval system
Author(s): Charles Hawkins; David M. Holburn
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Paper Abstract

An improved technique is described for segmentation of digitized grey scale image of fingerprints. Conventional approaches to the segmentation problem are apt to yield binarized images of acceptable visual clarity, but tend to emphasize noise, which may lead to inefficiency in data compression and storage. They may be computationally intensive, which has implications on time taken for the processing of current archives. The advantages of the technique described are high visual acceptability of the resulting binary images, and speed of execution using simple computing architectures. The method makes use of a matched spatial domain high pass filter, combined with a statistical operator that attenuates noise and effects due to paper grain. Examples are presented of the use of the technique with fingerprint images of widely varying quality, and it is shown that visually acceptable results are obtained even when the original images is heavily degraded. Results after compression are described showing merits of the statistical operator.

Paper Details

Date Published: 17 December 1993
PDF: 8 pages
Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); doi: 10.1117/12.164863
Show Author Affiliations
Charles Hawkins, Cambridge Univ. (United Kingdom)
David M. Holburn, Cambridge Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 1989:
Computer Vision for Industry
Donald W. Braggins, Editor(s)

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