Development of offline handwritten signature authentication using artificial neural network
Handwritten signatures are playing an important role in finance, banking and education and more because it is considered to be the “seal of approval” and remains the most preferred means of authentication. In this paper, an offline handwritten signature authentication algorithm is proposed using Art...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2018
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Subjects: | |
Online Access: | http://irep.iium.edu.my/61256/13/61256%20%20Development%20of%20Offline%20Handwritten.pdf http://irep.iium.edu.my/61256/ http://ieeexplore.ieee.org/document/8308128/ |
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