Performance analysis of fingerprint compression using an efficient wavelet transform algorithm

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Performance analysis of fingerprint compression using an efficient wavelet transform algorithm

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dc.contributor.author Kasaei, S
dc.contributor.author Deriche, M
dc.contributor.author Boashash, B
dc.date.accessioned 2011-10-11T10:28:55Z
dc.date.available 2011-10-11T10:28:55Z
dc.date.issued 1996-08
dc.identifier.citation Fourth International Symposium on Signal Processing and Its Applications, 1996. ISSPA 96., Issue Date : 25-30 Aug 1996 Volume : 1 On page(s): 433 en_US
dc.identifier.isbn 0-7803-4114-7
dc.identifier.uri http://hdl.handle.net/10576/10757
dc.description In this paper, rather than using Huffman coding directly on the quantized coefficients, a hard thresholding and a rounding scheme are applied to the coefficients, then entropy coding is used. (The most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated). en_US
dc.description.abstract This paper presents a new compression algorithm for fingerprint images. A modified wavelet packet scheme based on a fixed decomposition structure, matched to the statistics of fingerprint images, is used to decorrelate the image pixels. Rather than using Hugman coding directly on the quantized coefficients, a hard thresholdingand a rounding scheme are applied to the modified mean-removed coefficients, followed by entropy coding. In addition, the performance of two other wavelet decomposition techniques: OWT and E-BBB, is described. The experiments show that the proposed method requires much less computation time compared to E-BBB with almost the same PSNR. It requires a much less complicated quantization method than the one used in [2] and [l], and results in a higher PSNR. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Filter bank en_US
dc.subject Fingerprint recognition en_US
dc.subject Image coding en_US
dc.subject Image matching en_US
dc.subject PSNR en_US
dc.subject Performance analysis en_US
dc.subject Signal processing algorithms en_US
dc.subject Wavelet analysis en_US
dc.subject Wavelet packets en_US
dc.subject Wavelet transforms en_US
dc.title Performance analysis of fingerprint compression using an efficient wavelet transform algorithm en_US
dc.type Article en_US

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