Multimodal biometrics technique for personal authentication

Ainur Idayu, Binti Tumingan. (2010) Multimodal biometrics technique for personal authentication. [Final Year Project Report] (Unpublished)

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Abstract

Biometric technology are refers to technologies that measure and analyze human physical and behavioral characteristics for recognition and authentication purpose. A multimodal biometrics system is more reliable and provided better performance than uni-modal biometric. This paper proposes a multimodal biometric systems using face and fmger print recognition. The design of a verification system consists of two major stages which are enrollment phase and verification phase. Each verification system completely used a Principal Component Analysis (PCA) method to apply linear projection to the original image space to achieve dimensionality reduction. Backpropagation Neural Network (BP-ANN) is adopted in this project for training and matching process. BP-ANN is the most popular used in verification systems.

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