Feature Level Fusion of Palmprint and Iris
In many real-life usages, single modal biometric systems repeatedly face significant restrictions due to noise in sensed data, spoof attacks, data quality, nonuniversality, and other factors. However, single traits alone may not be able to meet the increasing demand of high accuracy in todays biometric system.Multibiometric systems is used to increase the performance that may not be possible using single biometrics. In this paper we propose a novel feature level fusion that combines the information to investigate whether the integration of palmprint and iris biometric can achieve performance that may not be possible using a single biometric technology. Proposed system extracts Gabor texture from the preprocessed palm print and iris images. The feature vectors attained from different methods are in different sizes and the features from equivalent image may be correlated. Therefore, we proposed wavelet-based fusion techniques. Finally the feature vector is matched with stored template using KNN classifier. The proposed approach is authenticated for their accuracy on PolyU palmprint database fused with IITK iris database of 125 users. The experimental results demonstrated that the proposed multimodal biometric system achieves a recognition accuracy of 99.2% and with false rejection rate (FRR) of = 1.6%.
Keywords: Authentication, Biometric, Fusion, Iris, KNN classification,Multimodal,Palmprint, Wavelet, Gabor.
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ABOUT THE AUTHORS
R.Gayathri
R.Gayathri received B.E degree in Electronics and Communication Engineering from Madras University and M. Tech. degree from Anna University, College of Engineering Guindy, Chennai, India in 1999 and 2001 respectively. She is currently pursuing the Ph.D. degree in the department of Electronics and Communication Engineering at Anna University College of Technology, Coimbatore, India. She is currently working as a Head in the Department of Electronics and Communication Engineering, Vel Tech Dr.RR and Dr.SR Technical University, Chennai; India. She has more than 12 years of experience in teaching and having 6 years research experience. Her research interest includes pattern recognition, computer vision, machine learning, application to image recognition, network security. She has published more than 15 papers in international journals.
P. Ramamoorthy
Dr. P.Ramamoorthy received B.E degree in Electronics and Communication Engineering and M.E degree in Electronics Engineering from PSG college of Technology, Coimbatore, India. He received Ph.D. degree in Electronics and Communication Engineering from Bharathiyar University. He is currently working as a Dean Academic in Sri Shakthi Institute of Engineering Technology, India. He has more than 36 years of experience in teaching and 15 years research in Government Institutions. He is guiding fourteen research scholars under Anna University Coimbatore. His research area includes Image Analysis, Biometric Application, Network Security, Mobile Communication, Adhoc Networks, etc. He has published more than 38 papers in international journals.
R.Gayathri
R.Gayathri received B.E degree in Electronics and Communication Engineering from Madras University and M. Tech. degree from Anna University, College of Engineering Guindy, Chennai, India in 1999 and 2001 respectively. She is currently pursuing the Ph.D. degree in the department of Electronics and Communication Engineering at Anna University College of Technology, Coimbatore, India. She is currently working as a Head in the Department of Electronics and Communication Engineering, Vel Tech Dr.RR and Dr.SR Technical University, Chennai; India. She has more than 12 years of experience in teaching and having 6 years research experience. Her research interest includes pattern recognition, computer vision, machine learning, application to image recognition, network security. She has published more than 15 papers in international journals.
P. Ramamoorthy
Dr. P.Ramamoorthy received B.E degree in Electronics and Communication Engineering and M.E degree in Electronics Engineering from PSG college of Technology, Coimbatore, India. He received Ph.D. degree in Electronics and Communication Engineering from Bharathiyar University. He is currently working as a Dean Academic in Sri Shakthi Institute of Engineering Technology, India. He has more than 36 years of experience in teaching and 15 years research in Government Institutions. He is guiding fourteen research scholars under Anna University Coimbatore. His research area includes Image Analysis, Biometric Application, Network Security, Mobile Communication, Adhoc Networks, etc. He has published more than 38 papers in international journals.
