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)
810 Seventh Street NW, Washington, DC 20531, United States