Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Off-Line Signature Verification by Local Granulometric Size Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Off-Line Signature Verification System using Hidden Markov Model and Cross-Validation
SIBGRAPI '00 Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing
Recent Advancements in Automatic Signature Verification
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Off-line signature verification systems: a survey
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
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In this paper we present a new method for off-line Chinese signature verification. The approach is based on feature extraction of every segment segmented from the signature image. After preprocessed and segmented, the signature image is segmented to some segments. Every segment is represented by a set of seven features. By using these segments and its features, the degree of similarity between the questioned sample and the n genuine signature samples is computed. Only a little number (3 to 5) of genuine samples for each writer is needed by using a simplified version of question document expert's classifier. Experimental results show our approach is promising to distinguish random and simple forgeries from genuine signatures effectively.