NDLI: Effects of image lossy compression on palmprint verification performance

Content Provider	IEEE Xplore Digital Library
Author	Hengjian Li Jizhi Wang Yinglong Wang Jiashu Zhang
Copyright Year	2010
Description	Author affiliation: Sichuan Province Key Lab of Signal & Information, Processing, Southwest Jiaotong University, Chengdu, China (Jiashu Zhang) \|\| Shandong Provincial Key Laboratory of computer Network, Shandong Computer Science Center, Jinan, China (Hengjian Li; Jizhi Wang; Yinglong Wang)
Abstract	In this paper, we investigate the effects that the lossy image compression has on the performance competitive codes of palmprint verification algorithms. Effects of lossy compression on palmprint recognition performance are of interest in applications where image storage space and transmission time are of critical importance. To reconcile that goal with its implications for bandwidth and storage, we test the effects of image lossy compression on competitive code under different transforms, quantization and encoding algorithms using a publicly available palmprint database. Experiments performing recognition directly in the compressed domain show that the extracted feature template variation from the compressed palmprint image is not consistent with the image distortion. What is interesting, the effect on the JPEG is more serious than that of JPEG2000 when the compression ratio is bigger than about 11 while the effect on JPEG2000 is more serious than that of JPEG when the compression ratio is smaller than about 11. And the trellis coded quantized method is not suitable for compressing palmprint images.
Starting Page	1155
Ending Page	1159
File Size	206162
Page Count	5
File Format	PDF
ISBN	9781424469420
e-ISBN	9781424469437
DOI	10.1109/ICITIS.2010.5689764
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Image coding Image recognition PSNR Face recognition Transform coding Transforms Receiver operating characteristic curves Palmprint verification Classification algorithms Lossy image compression
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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