Coding of fingerprint images using binary subband decomposition and vector quantization

Date
1998-01
Advisor
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Source Title
Proceedings of SPIE - The International Society for Optical Engineering
Print ISSN
0277-786X
Electronic ISSN
Publisher
SPIE
Volume
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Pages
1072 - 1079
Language
English
Type
Conference Paper
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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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Keywords
Binary vector quantization, Fingerprint image compression, Algorithms, Computer simulation, Database systems, Decomposition, Optical filters, Vector quantization, Binary subband decomposition, Image coding
Citation
Published Version (Please cite this version)