DocumentCode :
496330
Title :
Iris Recognition System Design and Development of Large Animals for Tracing Source of Infection
Author :
Wang, Xiaoqiang ; Zhao, Lindu ; Kong, Qiang
Author_Institution :
Inst. of Syst. Eng., Southeast Univ., China
Volume :
1
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
610
Lastpage :
613
Abstract :
Iris recognition system design and development of large animals is used to make the large animals be recognizable and traceability from the farm to the slaughterhouse. We can identify the animals when people find it carrying infectious diseases. On the basis of experiments on cows, this paper introduces the iris recognition system design; and we mainly introduce the algorithms of edge detection and iris-encoding used in this system. Iris images are acquired by special capture device. The images will be translated to iris-encoding by image preprocessing, feature extraction and matching operations. By calculating the hamming distance between iris-encoding of different individuals, we can distinguish different individuals. The result of the iris recognition can help us to identify where the animals carrying infection virus come from, and then find the source of infection.
Keywords :
biometrics (access control); diseases; edge detection; feature extraction; image coding; image matching; medical image processing; veterinary medicine; edge detection; encoding; feature extraction; hamming distance; image preprocessing; infection virus; infectious disease; iris recognition system design; large animal infection source tracing; matching operation; Animals; Design engineering; Design optimization; Diseases; Hardware; Humans; Image coding; Image edge detection; Iris recognition; Prototypes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.271
Filename :
5193770
Link To Document :
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