DocumentCode :
3468016
Title :
Automatic extraction of eye field from a gray intensity image using intensity filtering and hybrid projection function
Author :
Montazeri, Mina ; Nezamabadi-pour, Hossein
Author_Institution :
Comput. Eng. Dept., Shahid Bahonar Univ., Kerman, Iran
fYear :
2011
fDate :
3-5 March 2011
Firstpage :
1
Lastpage :
5
Abstract :
Eye detection has important role in Biometric identification and has known as one of the methods for person identification. In the recent years, many efforts have done for detecting eye automatically and with different image conditions. This paper proposes a method which can automatically detect eye in extensive range of images with different conditions. In the proposed method, region of face is detected by hybrid projection function and morphological operations, and then to identify window of eye, vertical edge dominance map is used. To detect center of pupil, two elliptical masks on eye image is applied. This method has implemented on JAFFE database and compared with 3 well-known methods. The accuracy of 99.53% on this database confirms efficiency of the proposed method.
Keywords :
biometrics (access control); eye; object detection; biometric identification; edge dominance map; eye detection; eye image elliptical mask; eye lid automatic extraction; gray intensity image; hybrid projection function; intensity filtering; morphological operations; person identification; pupil center detection; Computational modeling; Databases; Face; Feature extraction; Morphological operations; Robustness; Shape; Eye detection; Vertical Edge Dominance Map; hybrid projection function; pupil detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computing and Control Applications (CCCA), 2011 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4244-9795-9
Type :
conf
DOI :
10.1109/CCCA.2011.6031433
Filename :
6031433
Link To Document :
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