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A Single-sensor Hand Geometry and Palmprint Verification System by Michael Goh Kah Ong; Tee Connie; Andrew Teoh Beng Jin; David Ngo Chek Ling is a scholarly article available to read on EtoBox.

What is A Single-sensor Hand Geometry and Palmprint Verification System about?

Several contributions have shown that fusion of decisions or scores obtained from various single-modal biometrics verification systems often enhances the overall system performance. A recent approach of multimodal biometric systems with the use of single sensor has received significant attention among researchers. In this paper, a combination of hand geometry and palmprint verification system is being developed. This system uses a scanner as sole sensor to obtain the hands images. First, the hand geometry verification system performs the feature extraction to obtain the geometrical information of the fingers and palm. Second, the region of interest (ROI) is detected and cropped by palmprint verification system. This ROI acts as the base for palmprint feature extraction by using Linear Discriminant Analysis (LDA). Lastly, the matching scores of the two individual classifiers is fused by several fusion algorithms namely sum rule, weighted sum rule and Support Vector Machine (SVM). The results of the fusion algorithms are being compared with the outcomes of the individual palm and hand geometry classifiers. We are able to show that fusion using SVM with Radial Basis Function (RBF) ker

Author

Michael Goh Kah Ong; Tee Connie; Andrew Teoh Beng Jin; David Ngo Chek Ling

Publisher

ACM Press

Published

2003

Language

EN