Enhancing the Performance of Palm Biometric Verification System
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Abstract
In this paper, we presents a palm biometric
verification system based on palm print, heart line shape and
geometric feature of human hand. The hand image captured
using digital camera is preprocessed to find the palm print ROI
(region of interest) that has heart line. Palm print texture features
are extracted by applying local binary pattern method and Gabor
filters are applied on palm ROI to extract heart line feature.
Geometry features are represented as distances between different
boundary points located on palm region of hand. A simple yet
robust decision level AND rule is proposed for developing an
efficient biometric based person verification system. The
proposed system is tested on database collected at our institute.
The equal error rate (ERR) of the proposed system is 2.56%.
Experimental results clearly indicate that combining heart line
shape and hand geometry feature with palm print features at
decision level improves the performance of the verification
system.
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Keywords : biometrics, Gabor Filter, palm print, principal lines,
verification
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