Keynote Address

Secure Person-Identification Scheme Using Biometric Features Involving Iris Patterns

Prabir Bhattacharya, PhD, IEEE Fellow, AAAS Fellow, IAPR Fellow

Department of Electrical Engineering and Computing Systems

University of Cincinnati, Ohio


The current focus on security and surveillance has stimulated the growth of automated personal identification systems based on biometrics such as fingerprints, palm prints, iris, face, etc. Iris is considered as one of the most reliable biometric technologies because unlike some other biometric features it does not change with age of the person and even identical twins have different iris patterns. Iris scans are used nowadays in several airports in USA and many other countries for the rapid processing of passengers. It is also used for secure access to buildings and rooms where any highly sensitive information is stored. In this talk, we shall describe our recent work on iris recognition using machine learning and pattern recognition techniques that provide a very high degree of accuracy. We shall describe a feature selection scheme to improve the recognition accuracy and asymmetrical support vector machine for the classification of iris patterns.

Biography of the Speaker

Prabir Bhattacharya received his Ph.D. from the University of Oxford, UK. Since 2009, he has been serving as a Full Professor at the University of Cincinnati, Ohio where he also served as the Head of the School of Computing Sciences and Informatics during 2009-12. Dr. Bhattacharya is a Fellow of the IEEE, a Fellow of the AAAS and a Fellow of the IAPR. He holds 4 US Patents, and has co-authored over 300 publications including 123 journal papers. His research has focused mainly on image understanding, pattern recognition and computer security. His research has been cited as references in 79 US patents. During 2006-07, he served as the Associate Editor-in-Chief of the IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). He is currently an Associate Editor of four technical journals. In 2008, he received an Outstanding Contributions Award from the IEEE Systems, Man and Cybernetics Society. He has been the Principal Investigator in projects funded by the NSF, AFOSR, BMDO, NIH, NASA and NSERC.