Coding of fingerprint images using binary subband decomposition and vector quantization
Author
Gerek, Ömer N.
Çetin, A. Enis
Date
1998-01Source Title
Proceedings of SPIE - The International Society for Optical Engineering
Print ISSN
0277-786X
Publisher
SPIE
Pages
1072 - 1079
Language
English
Type
Conference PaperItem Usage Stats
162
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111
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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.
Keywords
Binary vector quantizationFingerprint image compression
Algorithms
Computer simulation
Database systems
Decomposition
Optical filters
Vector quantization
Binary subband decomposition
Image coding