Fuzzy Signature Verification And Interpretation System Using Stroke Comparator

Off line Signanire Verification and Interpretation is important part of many business proorsses. Signature Verification and Interpretation is the process of verifying and interpreting the identity of a person by checking the signature against samples kept in a database and helping the user to interpret them. To develop a system that can verify signatures with sample signatures (templates) stored in a databass, the proposed system is divided into fom components. (i) Data capture the process of converting the signature into digital form as offline procedure (ii) Preprocessing-This step is used to reduce nome, to apply filters, to zoom-in/room-out an image, etc. The system introduces fuzzy logic to improve the quality of images obtained daring perproceming which greatly enhances the accuracy of the image and significantly helps in refining the image for the process of comparing the signatures. (iii) Feature Extraction and segmentation to obtain the boundaries.and partitioning of the signature. (iv) Comparison and interpretation matches the input signature with the templates consisting of three sample signatures. The result given as a fit ratio is obtained by thresholding the fit value. Hamming Distance algorithm is used to justify the threshold value used. The comparison process uses 'Reader, School of Management, Bharathiar University, Coimbatore E-mail: kavivek@lycos.com Research Scholar, Department of Computer Science and Engineering, Bharathiar University, Coimbatore. E-mail: cmeena2003@yahoo.co.inedge detection and pixel matching techniques. The result can be further improvised by using another threshold value that might have occurred due to changes in the background, varying strokes, etc. The output will interpret whether the signature is accepted or rejected with appropriate explanations. Several approaches to obtain the optimal threshold value from the reference set are investigated.