Publication: Signature verification: using mahalanobis distance based fuzzy inference system
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Date
2013
Authors
Goh Shu Hui
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Abstract
Signature verification system is a system that could verify a user's signature whether is genuine or forged. A pressure sensitive pad-WACOM BAMBOO Fun Tablet is used to collect signature samples. From each signature x-coordinates, y-coordinates and pressure are obtained and eight features are extracted from the dynamic data. In order to choose the optional features from the eight features, mahalanobis distance is computed for the train and test signature samples. From the distance, feature weights are then computed. verification system using Fuzzy Inference System (FIS) is designed using MATLAB to verify the signatures. The result obtained from the system are 17.33% for False Acceptance Rate (FAR) and 49.33% for False Rejection Rate (FRR).
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Keywords
Fuzzy logic , Artificial intelligence