Person Identification System Using Fusion of Matching Score of Iris
Human iris provides a unique structure suitable for non-invasive biometric assessment. In particular the irises are as distinct as fingerprints even for twins. In this paper a system for person identification is presented that uses a technique of localization, alignment, feature extraction, matching the features of irises and finally the decision regarding the degree of match based on hamming distance. A CASIA iris database of iris images has been used in the implementation of the iris recognition system. The results show that proposed method is quite effective
Keywords: Iris recognition, Iris Localization, decision level fusion
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ABOUT THE AUTHORS
Yogeshwari Borse
Yogeshwari Borse received B.E.Computer Engg.-- North Maharashtra University, India. She is currently pursuing M.Tech from computer Science & Engg. Department in Thakral College of Technology, Bhopal, RGP University , India.
Rajnish Choubey
Rajnish Choubey received M. Tech. (CTA) Hon’s. From UTD, RGP university , Bhopal in 2008 . He is currently working with computer Science & Engg. Department in Thakral College of Technology, Bhopal.
Roopali Soni
Roopali Soni received M.Tech degree from SOIT, RGP university in Computer Technology and Application. She is currently Head of computer Science & Engg. Department in Thakral College of Technology, Bhopal. Her research interests include soft computing Data Mining and warehousing and Object Oriented Concepts. Ms.Soni is a life member of ISTE & Institutional Member of CSI.
Milind E. Rane
Milind E Rane : received his BE degree in Electronics engineering from University of Pune and M Tech in Digital Electronics from Visvesvaraya Technological University, Belgaum, in 1999 and 2001 respectively. His research interest includes image processing, pattern recognition and Biometrics Recognition
Yogeshwari Borse
Yogeshwari Borse received B.E.Computer Engg.-- North Maharashtra University, India. She is currently pursuing M.Tech from computer Science & Engg. Department in Thakral College of Technology, Bhopal, RGP University , India.
Rajnish Choubey
Rajnish Choubey received M. Tech. (CTA) Hon’s. From UTD, RGP university , Bhopal in 2008 . He is currently working with computer Science & Engg. Department in Thakral College of Technology, Bhopal.
Roopali Soni
Roopali Soni received M.Tech degree from SOIT, RGP university in Computer Technology and Application. She is currently Head of computer Science & Engg. Department in Thakral College of Technology, Bhopal. Her research interests include soft computing Data Mining and warehousing and Object Oriented Concepts. Ms.Soni is a life member of ISTE & Institutional Member of CSI.
Milind E. Rane
Milind E Rane : received his BE degree in Electronics engineering from University of Pune and M Tech in Digital Electronics from Visvesvaraya Technological University, Belgaum, in 1999 and 2001 respectively. His research interest includes image processing, pattern recognition and Biometrics Recognition
