A Fuzzy Neural Clustering approach for Fingerprint Recognition
Fingerprint recognition is one of the most promising and evergreen biometric recognition technique used presently. In this paper we have proposed Extended Fuzzy Hyperline Segment Clustering Neural Network (EFHLSCNN) with its learning algorithm, which utilizes fuzzy sets as pattern clusters. In this extended version of paper we have used Manhattan distance for calculating distance of hyperline segments. The performance of EFHLSCNN when verified with fingerprint feature vectors, it is found superior than fuzzy hyperline segment clustering neural network (FHLSCNN) proposed by Kulkarni and Sontakke in terms of higher recognition rate and generalization.
Keywords: Biometrics, Pattern Clustering, Fuzzy Neural Network, FingerCode.
Download Full-Text
ABOUT THE AUTHORS
Mahendra Kondekar
M. H. Kondekar received the M.C.A. degree from Government Engineering College, Aurangabad in the year 2000. He received the M.Phil. Degree in Computer Science from Y.C.M.O. University, Nashik in the year 2009. He is currently working as Lecturer in the College of Computer Science and Information Technology, Latur, Maharastra, India. His current research interests include various aspects of Neural Networks and Fuzzy Logic, Pattern Recogntion and Biometrics
Uday Kulkarni
Dr.U.V.Kulkarni received the Ph.D. degree in Electronics and Computer Science Engineering from S.R.T.M. University, Nanded in the year 2003. He is currently working as professor in Computer Science and Engineering Department, SGGS Institute of Engineering and Technology, Nanded, Maharastra, India.
Santosh Chowhan
S. S. Chowhan received the M.Sc.(CS) degree from Dr. BAM University, Aurangabad in the year 2000. He received the M.Phil. Degree in Computer Science from Y.C.M.O. University, Nashik in the year 2008. He is currently working as lecturer in the College of Computer Science and Information Technology, Latur, Maharastra. His current research interests include various aspects of Neural Networks and Fuzzy Logic, Pattern Recogntion and Biometrics.
Mahendra Kondekar
M. H. Kondekar received the M.C.A. degree from Government Engineering College, Aurangabad in the year 2000. He received the M.Phil. Degree in Computer Science from Y.C.M.O. University, Nashik in the year 2009. He is currently working as Lecturer in the College of Computer Science and Information Technology, Latur, Maharastra, India. His current research interests include various aspects of Neural Networks and Fuzzy Logic, Pattern Recogntion and Biometrics
Uday Kulkarni
Dr.U.V.Kulkarni received the Ph.D. degree in Electronics and Computer Science Engineering from S.R.T.M. University, Nanded in the year 2003. He is currently working as professor in Computer Science and Engineering Department, SGGS Institute of Engineering and Technology, Nanded, Maharastra, India.
Santosh Chowhan
S. S. Chowhan received the M.Sc.(CS) degree from Dr. BAM University, Aurangabad in the year 2000. He received the M.Phil. Degree in Computer Science from Y.C.M.O. University, Nashik in the year 2008. He is currently working as lecturer in the College of Computer Science and Information Technology, Latur, Maharastra. His current research interests include various aspects of Neural Networks and Fuzzy Logic, Pattern Recogntion and Biometrics.
