An offline signature verification system is proposed in this paper. The proposed model has two stages: preprocessing and eigen-signature construction. In the preprocessing stage, we convert a scanned signature to a shape form and eigen-signature construction is proposed for extracting the feature vector from a shape formed signature. Experiments have been conducted on the newly created Kannada offline signature database to exhibit the performance of the proposed model. A comparative analysis is provided with the recently proposed texture features based offline signature verification system on the publicly available gray signature database to exhibit the performance of the proposed model.
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