Vertical Off-line Signature Feature Block for Verification
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Description
Handwritten signature image is normally used as a mark of endorsement of written document.
Signatures of the same person vary and they can be forged by imposters. Effective feature extraction algorithm
is needed in off-line signature verification. Robust features capable of increases interpersonal variation and
decreases intra personal variation are required. This work presents robust signature feature that can be used to
build effective off-line signature verification system. Signature processing is performed and the preprocessed
signature image is vertically divided into sixteen smaller image blocks through the center of gravity. Three
features are extracted from these smaller image blocks. Feature vector is formed and are passed to Support
Vector Machine (SVM) for training and classification. The proposed signature feature vector increases the
accuracy of tested off-line signature verification system
Keywords
TK Electrical engineering. Electronics Nuclear engineering