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Feature correlation evaluation approach for iris feature quality measure

NCJ Number
Signal Processing Volume: 90 Issue: 4 Dated: April 2010 Pages: 1176-1187
Yingzi Du; Craig Belcher; Zhi Zhou; Robert Ives
Date Published
12 pages

This paper proposes a feature correlation evaluation approach for iris image quality measure, which can discriminate the artificial patterns from the natural iris patterns and can also measure iris image quality for uncompressed images.



It is challenging to develop an iris image quality measure to determine compressed iris image quality. The compression process introduces new artificial patterns while suppressing existing iris patterns. The experimental results of the current study show that the proposed method could objectively perform quality measure on both non-compressed and compressed images. (Publisher abstract provided)