DocumentCode :
3225107
Title :
Non-ideal iris image enhancement algorithm based on local standard deviation
Author :
Fei Yan ; Yantao Tian ; Changjiu Zhou ; Liuyang Cao ; Yanhua Zhou ; Haiwei Wu
Author_Institution :
Coll. of Commun. Eng., Jilin Univ., Changchun, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4755
Lastpage :
4759
Abstract :
A non-ideal iris image enhancement algorithm based on local standard deviation was put forward. The algorithm can enhance gray and color iris images with poor contrast. Experiments show that the proposed method can increase the correct acceptance rate and reduce the false rejection rate of iris recognition system, so the algorithm can improve the accuracy of iris recognition system.
Keywords :
image colour analysis; image enhancement; iris recognition; acceptance rate correction; color iris image enhancement; false rejection rate; gray iris images; iris recognition system; local standard deviation; nonideal iris image enhancement algorithm; Color; Feature extraction; Hamming distance; Image color analysis; Image enhancement; Iris recognition; Standards; Color Image; Image Enhancement; Iris Recognition; Texture Enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162766
Filename :
7162766
Link To Document :
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