Publications

Abstract : Biometrics is an emerging technology that is used to identify people by their physical and/or behavioural characteristics and, so, it inherently requires that the person to be identified is physically present at the point of identification. A new approach for multimodal based personal identification using hand images is presented. This paper attempts to improve the performance of hand based verification system by integrating palm print, hand geometry and knuckle print features from user�s hand. Unlike other multimodal biometric systems, the users do not have to undergo the inconvenience of using two different sensors since the palm print, hand geometry and Knuckle Print features can be acquired from the same image, at the same time. Individual matching scores are then combined using a new dynamic fusion approach. The experimental results showed the effectiveness of the system in terms of equal error rate.