DocumentCode :
2784543
Title :
A new method of iris image location research
Author :
Shi, Jin-Xin ; Gu, Xiao-Feng ; Li, Jie ; Jie Lin ; Liu, Lin ; Huang, Yuan-Yuan
Author_Institution :
Sch. of Software Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2009
fDate :
23-25 Oct. 2009
Firstpage :
329
Lastpage :
332
Abstract :
At present, the research of biometric recognition is gave more and more attention in the world. The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc. the iris recognition technology has recently become popular in identity recognition. In my paper, based on the existing iris location algorithm, an improved iris location algorithm is brought forward. This method can achieve a precise and rapid iris location. In this method, inner circle positioning algorithm is improved by the changed Ostu adaptive binarization thresholding algorithm and the changed gray-scale projection method. And external positioning is completed by Roberts operator.
Keywords :
image colour analysis; image segmentation; iris recognition; Ostu adaptive binarization thresholding algorithm; Roberts operator; biometric recognition; gray-scale projection; identity recognition; inner circle positioning algorithm; iris image location algorithm; iris recognition; Application software; Biometrics; Character recognition; Face recognition; Fingerprint recognition; Image analysis; Image edge detection; Iris recognition; Software engineering; Wavelet analysis; Biometric recognition; Ostu; Roberts operator; iris location algorithm; iris recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5204-0
Electronic_ISBN :
978-1-4244-5206-4
Type :
conf
DOI :
10.1109/ICACIA.2009.5361087
Filename :
5361087
Link To Document :
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