@inproceedings{c4236a33de1d4056b05b570eb8b9e51c,
title = "A fast iris image quality evaluation method based on weighted entropy",
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.",
keywords = "Image segmentation, Iris image, Quality evaluation, Weighted entropy",
author = "Yuqing He and Ting Liu and Yushi Hou and Yuanbo Wang",
year = "2008",
doi = "10.1117/12.791526",
language = "English",
isbn = "9780819467652",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing",
note = "International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing ; Conference date: 09-09-2007 Through 12-09-2007",
}