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Proceedings Paper

Coding of fingerprint images using binary subband decomposition and vector quantization
Author(s): Oemer Nezih Gerek; Enis A. Cetin
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Paper Abstract

In this paper, compression of binary digital fingerprint images is considered. High compression ratios for fingerprint images is essential for handling huge amount of images in databases. In our method, the fingerprint image is first processed by a binary nonlinear subband decomposition filter bank and the resulting subimages are coded using vector quantizers designed for quantizing binary images. It is observed that the discriminating properties of the fingerprint images are preserved at very low bit rates. Simulation results are presented.

Paper Details

Date Published: 9 January 1998
PDF: 8 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298317
Show Author Affiliations
Oemer Nezih Gerek, Bilkent Univ. (Turkey)
Enis A. Cetin, Univ. of Minnesota and Bilkent Univ. (Turkey) (Turkey)


Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

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