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Proceedings Paper

A fast iris image quality evaluation method based on weighted entropy
Author(s): Yuqing He; Ting Liu; Yushi Hou; Yuanbo Wang
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Paper 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.

Paper Details

Date Published: 5 March 2008
PDF: 8 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66231R (5 March 2008); doi: 10.1117/12.791526
Show Author Affiliations
Yuqing He, Beijing Institute of Technology (China)
Ting Liu, Beijing Institute of Technology (China)
Yushi Hou, Smartiris Biometrics Co. Ltd. (China)
Yuanbo Wang, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing

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