DOIONLINE 
DOIONLINE Publish In |
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI |
 Journal Home Volume Issue |
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Issue |
Volume-2,Issue-2 ( Nov, 2014 ) | |||||||||
Paper Title |
Offline Handwritten Signature Verification Using Template Matching And Clustering Technique | |||||||||
Author Name |
Neha Purohit, Sapna Purohit, C.S. Satsangi | |||||||||
Affilition |
Dept of Computer Science, Medicaps Institute of Technology and Management Indore, India Dept of Media & System Engineering, Military College of Telecommunication and Engineering Mhow, Indore, India Dept of CS and IT, Medicaps Institute of Technology and Management Indore, India | |||||||||
Pages |
89-92 | |||||||||
Abstract |
Handwritten signatures are very important in our social and legal life for verification and authentication. A signature can be a "seal of approval" only if it is done by an authorized person which is a full proof way of authentication. Even two signatures of same person can have some kind of differences that is they cannot have perfect resemblances. Their positions may vary with respect to start and finish. Also, the angle of inclination of the signatures, space between each letter, height of each letter, all vary even with the same person. For comparison, it becomes a challenging task for two signatures to be of same person. In this paper, we presented the method that consists of image pre-processing, feature extraction, template matching and clustering technique and hamming distance verification. | |||||||||
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