Title: An intelligent multimodal biometric system for high security access
Authors: S. Uma Maheswari, P. Anbalagan
Addresses: Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore 641 014, Tamil Nadu, India. ' Kalaignar Karunanithi Institute of Technology, Kannampalayam (Post), Coimbatore 641 402, Tamil Nadu, India
Abstract: The interface of computer technologies and biology is having a huge impact on society. Human recognition technology research projects promises new life to many security consulting firms and personal identification system manufacturers. The physiological or biological features of an individual, called biometrics, are unique to each human and remain unaltered during a person|s lifetime and give a promising solution for security management. This paper presents an intelligent multimodal biometric verification system for physical access control, based on fusion of iris, face and fingerprint patterns. Feature vectors are created independently for query images and are then compared with the enrolled templates of each biometric trait to compute the matching score. The final decision is made by fusion at this matching score level. The proposed system is designed to suit embedded solutions for high security access in pervasive environments using biometric features.
Keywords: multimodal biometrics; high security; iris recognition; face recognition; fingerprints; matching score; pattern fusion; sum rule; accuracy; reliability; intelligent biometrics; access control; patterns; biometric verification.
International Journal of Biometrics, 2010 Vol.2 No.3, pp.295 - 311
Published online: 01 Jun 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article