@inproceedings{96686d66561c4cba93e013f63180988c,
title = "Texture enhancement of iris images acquired under natural light",
abstract = "The iris image acquired under natural light may be degraded by non-uniform illumination, which results in the iris texture{\textquoteright}s low resolution and low contrast. The recognition accuracy may be affected. This paper describes a method for enhancing the iris textures on the V channel of HSV space. The enhancement has two steps. First, the image is divided into small blocks and luminance enhancement is carried out in each block by using nonlinear transfer function and bilinear interpolation. Secondly, contrast enhancement by multi-scale Gaussian convolution is applied to improve the quality of the image. We test the proposed method on UBIRIS.v2 database. Experimental results show that the proposed method has better texture enhancement performance and can achieve higher recognition accuracy.",
keywords = "Contrast enhancement, Gaussian convolution, Iris recognition, Luminance enhancement, Natural light, Nonlinear transfer function",
author = "Boyan Hou and Yuqing He and Mengmeng Liang and Xue Wang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 10th Chinese Conference on Biometric Recognition, CCBR 2015 ; Conference date: 13-11-2015 Through 15-11-2015",
year = "2015",
doi = "10.1007/978-3-319-25417-3_44",
language = "English",
isbn = "9783319254166",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "373--380",
editor = "Jucheng Yang and Zhenan Sun and Shiguang Shan and Jinfeng Yang and Jianjiang Feng and Weishi Zheng",
booktitle = "Biometric Recognition - 10th Chinese Conference, CCBR 2015, Proceedings",
address = "Germany",
}