IEEE Transactions on Pattern Analysis and Machine Intelligence
A New LDA-Based Method for Face Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
A new efficient method of fingerprint image enhancement
International Journal of Biometrics
Robust face recognition using wavelet transform and autoassociative neural network
International Journal of Biometrics
Iris recognition using multi-resolution transforms
International Journal of Biometrics
Fusing multiple matcher's outputs for secure human identification
International Journal of Biometrics
Combining face and iris biometrics for identity verification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal Processing
An effective colour feature extraction method using evolutionary computation for face recognition
International Journal of Biometrics
Classification of fingerprint images to real vs. spoof
International Journal of Biometrics
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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.