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
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;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563929
