A Multimodal Approach for Face and Ear Biometric System
Multi modal biometric system is one of the major areas of study identified with large applications in recognition system. Single modal biometric systems have to challenge with a variety of problems such as noisy data, Intra-class variations, non-universality, spoof attacks, and unacceptable error rates. Some of these limitations can be solved with multi modal biometric systems. The major purpose of the study is to review and analyze the prime works in multimodal biometric system and its efficiency in recognition rate. The proposed framework of the multimodal biometric system using face and ear is given. This paper also discusses the levels of fusion that are possible and understand the types of challenges focused by prior research work in this area.
Keywords: Face recognition, Ear recognition, Biometric recognition, Multimodal recognition.
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ABOUT THE AUTHORS
Gandhimathi Amirthalingam
Gandhimathi Amirthalingam received her Bachelor’s degree in Electronics from Bharathiar University. Then she obtained her Master’s degree from University of Madras in the year 2000 and M.Phil from Madurai Kamaraj University in the year 2007. She is pursuing Ph.D in Computer Science from the Bharathiar University. Her specializations include Image Processing, Computer vision, Multimedia Computing. Her current research interests are Biometric Security, Pattern recognition. She is a student member of the IEEE and IEEE Computer society
G. Radhamani
Department of Computer Science, Dr. G. R. Damodaran College of Science Coimbatore, India
Gandhimathi Amirthalingam
Gandhimathi Amirthalingam received her Bachelor’s degree in Electronics from Bharathiar University. Then she obtained her Master’s degree from University of Madras in the year 2000 and M.Phil from Madurai Kamaraj University in the year 2007. She is pursuing Ph.D in Computer Science from the Bharathiar University. Her specializations include Image Processing, Computer vision, Multimedia Computing. Her current research interests are Biometric Security, Pattern recognition. She is a student member of the IEEE and IEEE Computer society
G. Radhamani
Department of Computer Science, Dr. G. R. Damodaran College of Science Coimbatore, India
