A comprehensive approach for sclera image quality measure
by Zhi Zhou; Eliza Y. Du; N. Luke Thomas; Edward J. Delp
International Journal of Biometrics (IJBM), Vol. 5, No. 2, 2013

Abstract: Poor quality images can affect sclera recognition accuracy. An image quality measure can help improve the recognition system performance. In this paper, we proposed a comprehensive approach for sclera image quality measure, which includes quality filter and quantitative quality assessment unit, segmentation evaluation unit, feature evaluation unit, and score fusion unit. The experimental results show that the combination score is highly correlated with the sclera recognition accuracy and can be used to improve and predict the performance of sclera recognition systems.

Online publication date: Fri, 28-Feb-2014

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