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Comparative Study of Feature Extraction Methods with K-NN for Off-Line Signature Verification

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3 Author(s)
Mahar, J.A. ; Dept. of Comput. Sci., Shah Abdul Latif Univ., Khairpur ; Mahar, M.H. ; Khan, M.K.

In this paper verification of signatures is reviewed and different feature extraction methods with K-NN are compared in order to obtain the optimized high performance signature verification for improving the identification rate. The task of signature verification is to judge whether an input signature is a genuine or a forged. This task is performed by comparing the collected signature samples with input signatures. In this purpose, three feature extraction methods are reviewed and used for the comparison of off-line signatures

Published in:

Emerging Technologies, 2006. ICET '06. International Conference on

Date of Conference:

13-14 Nov. 2006

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