1st Edition

Multimodal Biometric Identification System Case Study of Real Time Implementation

By Sampada Dhole, Vinayak Bairagi Copyright 2025
    136 Pages 108 B/W Illustrations
    by Chapman & Hall

    This book presents a novel method of multimodal biometric fusion using a random selection of biometrics, which covers a new method of feature extraction, a new framework of sensor level and feature level fusion. Most of the biometric systems presently use unimodal systems which have several limitations. Multimodal systems can increase the matching accuracy of a recognition system. This monograph shows how the problems of unimodal systems can be efficiently dealt with and focuses on multimodal biometric identification and sensor-level feature-level fusion. It discusses fusion in biometric systems to improve performance.

    • Presents a random selection of biometrics to ensure that the system is interacting with a live user

    • Offers a compilation of all techniques used for unimodal as well as multimodal biometric identification systems, elaborated with required justification & interpretation with case studies, suitable figures, tables & graphs etc.

    • Shows that for feature level fusion using contourlet transform features with LDA for dimension reduction attains more accuracy compared to block variance features

    • Includes contribution in Feature Extraction & Pattern Recognition for increase in accuracy of the system

    • Explains contourlet transform as the best modality-specific feature extraction algorithms for fingerprint, face and palmprint

    This book is for researchers, scholars and students of Computer Science, Information Technology, Electronics and Electrical Engineering, Mechanical Engineering, and people working on biometrics applications.

    1. Introduction. 2. Overview of biometric System. 3. Motivation behind Multimodal Biometric.4. Performance Measurement Parameters for Biometric System. 5. Unimodal Biometric System. 6. Multimodal Biometric Identification System using sensor level fusion. 7. Multimodal Biometric Identification System using Feature level fusion. 8. Result and Discussion.


    1)Dr. Sampada A. Dhole has completed Ph.D. in Electronics from Bharati Vidyapeeth (Deemed to be university) College of Engineering, India in 2017 with specialization of Image Processing and Biometrics. Her research interest includes the Image processing, Multimodal. She has published more than 30 research papers including 7 Scopus indexed. she has filed 2 patents and 1 copyrights in technical field. She has worked as a Reviewer for many International and National Conferences. She is working as assistant professor in the department of E&TC at Bharati Vidyapeeth’s college of Engineering for Women, SPPU, Pune, India .She has 21 years of teaching experience. She is a member of technical society ISTE, India.(Email ID: [email protected] )

    2)Dr. Vinayak. K. Bairagi has completed M.E. (Electronic) from Sinhgad COE, Pune in 2007 (1st Rank in SPPU). Savitribai Phule Pune University has awarded him a PhD degree in Engineering. He has teaching experience of 13 years and research experience of 8 years. He has filed 12 patents and 5 copyrights in technical field. He has published more than 60 papers, of which 26 papers are in international journals. He has authored/edited more than 8 books / book chapters with multiple publishing concerns and he is a reviewer for nine scientific journals. He has received grants from DST SERB, UoP-BUCD, GYTI. He has received more than 14 awards , which includes National level Young Engineer Award (2014),ISTE National level Young Researcher Award (2015) for his excellence in the field of engineering and IETE M N SAHA Memorial Award-2018. He is the member of INENG (UK), IETE (India), ISTE (India), IEI & BMS (India). He had worked on in Image compression at College of Engineering, Pune, under Pune University. His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis and Medical signal processing. Currently he is associated with AISSMS Institute of Information Technology, Pune as Professor in Electronics and Telecommunication Engineering. He is recognized PhD Guide in Electronics engineering of Savitribai Phule Pune University. Presently he is guiding 7 PhD Students. (Email: [email protected] )