M.Ezhilarasan

Work place: Department of Information Technology, Pondicherry Engineering College, Pondicherry, India

E-mail: mrezhil@pec.edu

Website:

Research Interests: Data Structures, Data Structures and Algorithms, Data Compression, Multimedia Information System, Computer systems and computational processes

Biography

Dr. M.Ezhilarasan was born on May 30, 1968. He has obtained Bachelor of Technology in Computer Science and Engineering, Master of Technology in Computer Science and Engineering and Ph. D. in Computer Science and Engineering from Pondicherry University in 1990, 1996 and 2007 respectively. He is an Associate Professor and Head of Information Technology, Pondicherry Engineering College, Puducherry, India. He is life member of Indian Society for Technical Education (ISTE). He has published 45 papers in National and International Conference Proceedings and Journals. His research interests include Multimedia Data Compression and Multi-Biometrics.

Author Articles
A Hybrid Model for Biometric Authentication using Finger Back Knuckle Surface based on Angular Geometric Analysis

By K.Usha M.Ezhilarasan

DOI: https://doi.org/10.5815/ijigsp.2013.10.06, Pub. Date: 8 Aug. 2013

Biometric based personal recognition is an efficient method for identifying a person. Recently, hand based biometric has become popular due to its various advantages such as high verification accuracy and high user acceptability. This paper proposes a hybrid model using an emerging hand based biometric trait known as Finger Back Knuckle Surface. This model is based on angular geometric analysis which is implemented on two different samples of Finger Back Knuckle Surface such as Finger Bend Knuckle Surface and Finger Intact Knuckle Surface for the extraction of knuckle feature information. The obtained feature information from both the surfaces is fused using feature information level fusion technique to authenticate the individuals. Experiments were conducted using newly created database for both Bend Knuckle and Intact Knuckle Surface. The results were promising in terms of accuracy, speed and computational complexity.

[...] Read more.
Other Articles