Volume 7 Number 3 (Mar. 2012)
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JSW 2012 Vol.7(3): 594-598 ISSN: 1796-217X
doi: 10.4304/jsw.7.3.594-598

A Comparison of Lossless Compression Methods for Palmprint Images

Song Zhao1, Yan Xu1, Hengjian Li2, and Heng Yang3
1Zhengzhou Institute of Aeronautical Industry Management, ZhengZhou, China
2Shandong Computer Science Center, JiNan, China
3Xi'an Institute of Applied Optics, Xi'an, China


Abstract—In this work, lossless grayscale image compression methods are compared on a public palmprint image database. The total number of test images was about 7752, with 8 bit rates. The performance using different lossless compression algorithms on the compression ratios when processing palmprint sample data is investigated, in particular, we relate the application of CALIC, JPEGLS, RAR, JPEG2000 (lossless version), PNG (Portable Network Graphics) LJPEG (lossless JPEG), JPEG (Binary DCT) and S+P transform. Based on the testing results using an open palmprint image database, CALIC gives high compression ratios in a reasonable time, whereas JPEG-LS is nearly as effective and very fast. A guide is given to choose lossless image compression algorithm.

Index Terms—Biometrics; lossless image compression; palmprint image

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Cite: Song Zhao,Yan Xu, Hengjian Li, and Heng Yang "A Comparison of Lossless Compression Methods for Palmprint Images," Journal of Software vol. 7, no. 3, pp. 594-598, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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