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Browsing by Subject "feature extraction"

Browsing by Subject "feature extraction"

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  • Ambegoda, A. L. T. P.; Perera, B. B. U. P. (Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka, 2018)
    Handwritten signature recognition method is the most popular recognition method of a personal identity. But it is easy to misuse that the signature forgery has become a great threat to the accuracy of the documentary. In ...

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