A hybrid on/off line handwritten signature verification system

This paper proposes a new hybrid handwritten signature verification system where the on-line reference data acquired through a digitizing tablet serves as the basis for the segmentation process of the corresponding scanned off-line data. Local foci of attention over the image are determined through...

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Bibliographic Details
Main Authors: Zimmer, A., Lee Luan Ling
Format: Conference Proceeding
Language:English
Subjects:
Banking
Data mining
Feature extraction
Handwriting recognition
Image segmentation
Low pass filters
Sampling methods
Skeleton
System testing
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Summary:This paper proposes a new hybrid handwritten signature verification system where the on-line reference data acquired through a digitizing tablet serves as the basis for the segmentation process of the corresponding scanned off-line data. Local foci of attention over the image are determined through a self-adjustable learning process in order to pinpoint the feature extraction process. Both local and global primitives are processed and the decision about the authenticity of the specimen is defined through similarity measurements. The global performance of the system is measured using two different classifiers.
DOI:10.1109/ICDAR.2003.1227702