@inproceedings{0427c70fd84348efa6ad60166de0b9ea,
title = "An elimination method of light spot based on iris image fusion",
abstract = "Iris recognition has become an effective method for personal identification. Many kinds of factors related with illumination in the image acquisition period bring light spots to the iris images, which causes the loss of the iris texture. To a great extent, it will affect the speed and precision of the iris recognition system. Here we proposed a light spot elimination method based on image fusion. First, image preprocessing is used to spread the iris feature circle to a rectangle. Next, match two images of the same iris captured in different time and with light spots in different positions. Then calculate the precise positions of the light spots and carry on the fusion of the two iris images. As a result, the light spots are effectively eliminated after the fusion. Experimental results show that this method can eliminate the disturbance of light spots and avoid the loss of iris texture in iris recognition.",
keywords = "Image fusion, Image matching, Iris recognition, Light spot elimination",
author = "Yuqing He and Hongying Yang and Yushi Hou and Huan He",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2008.; 4th International Conference on Intelligent Computing, ICIC 2008 ; Conference date: 15-09-2008 Through 18-09-2008",
year = "2008",
doi = "10.1007/978-3-540-85930-7_53",
language = "English",
isbn = "9783540859291",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "415--422",
editor = "De-Shuang Huang and Wunsch, {Donald C.} and Levine, {Daniel S.} and Kang-Hyun Jo",
booktitle = "Advanced Intelligent Computing Theories and Applications",
address = "Germany",
}