DocumentCode
1936852
Title
Performance evaluation of IRIS recognition algorithms using neural network classifier
Author
Wagdarikar, Amir M Usman ; Patil, B.G. ; Subbaraman, Shaila
Author_Institution
Electron. Eng., Walchand Coll. of Eng., Sangli, India
Volume
1
fYear
2010
fDate
9-11 July 2010
Firstpage
146
Lastpage
149
Abstract
Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus it is the most promising for high security environments. Hence numbers of IRIS recognition algorithms are proposed, such as ICA (independent component analysis), SVD (singular value decomposition), Characterizing key local variation etc. which extracts iris features and competitive learning mechanism to recognize iris pattern.
Keywords
feature extraction; independent component analysis; iris recognition; neural nets; singular value decomposition; ICA; SVD; biometric technology; competitive learning mechanism; feature extraction; independent component analysis; iris recognition algorithm; neural network classifier; singular value decomposition; Computer languages; Databases; Iris recognition algorithms; neural network classifier (Error back propagation); results;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563929
Filename
5563929
Link To Document