A fast iris image quality evaluation method based on weighted entropy

Yuqing He; Ting Liu; Yushi Hou; Yuanbo Wang

doi:10.1117/12.791526

5 March 2008 A fast iris image quality evaluation method based on weighted entropy

Yuqing He, Ting Liu, Yushi Hou, Yuanbo Wang

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 66231R (2008) https://doi.org/10.1117/12.791526
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

During the image acquisition procedure of an automatic iris recognition system, the iris image with low quality may lead to the personal identification failure in some cases. Therefore it is very important to adopt the image quality evaluation procedure before the image processing. In this paper, we proposed a fast image quality evaluation method based on weighted information entropy combining iris image segmentation through localization. Through this method, we can fast grade the images and pick out the high quality iris images from the video sequence captured by the image acquisition device. Experimental results show that this method can quickly and effectively screen out appropriate images to meet the requirements of the iris recognition algorithm. It can also improve the speed and accuracy of the iris recognition system.

Citation Download Citation

Yuqing He, Ting Liu, Yushi Hou, and Yuanbo Wang "A fast iris image quality evaluation method based on weighted entropy", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66231R (5 March 2008); https://doi.org/10.1117/12.791526

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