Compression of fingerprint images using wavelet transform and vector quantization

Mikhail Shnaider, Andrew P. Paplinski

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

In this paper the problem of compression of fingerprint images is addressed. The presented method utilizes wavelet transform followed by vector quantization. We compare our approach with the FBI fingerprint compression standard based on wavelet transform and scalar quantization. Due to the use of the vector instead of scalar quantization, a simplified wavelet expansion tree structure is achieved. This leads to significant reduction in time of encoding without noticeable loss in the quality of reconstructed images.

Original languageEnglish
Pages437-440
Number of pages4
Publication statusPublished - 1 Dec 1996
EventProceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2) - Gold Coast, Australia
Duration: 25 Aug 199630 Aug 1996

Conference

ConferenceProceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2)
CountryAustralia
CityGold Coast
Period25/08/9630/08/96

Cite this

Shnaider, M., & Paplinski, A. P. (1996). Compression of fingerprint images using wavelet transform and vector quantization. 437-440. Paper presented at Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2), Gold Coast, Australia.