Coding of fingerprint images using binary subband decomposition and vector quantization

Oemer Nezih Gerek; Enis A. Cetin

doi:10.1117/12.298317

9 January 1998 Coding of fingerprint images using binary subband decomposition and vector quantization

Oemer Nezih Gerek, Enis A. Cetin

Author Affiliations +

Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298317
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

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.

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Oemer Nezih Gerek and Enis A. Cetin "Coding of fingerprint images using binary subband decomposition and vector quantization", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298317

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