Signature Verification using Normalized Static Features and Neural Network Classification
نویسندگان
چکیده
منابع مشابه
Signature Verification Using Static and Dynamic Features
A signature verification algorithm based on static and dynamic features of online signature data is presented. Texture and topological features are the static features of a signature image whereas the digital tablet captures in real-time the pressure values, breakpoints, and the time taken to create a signature. 1D log Gabor wavelet and Euler numbers are used to analyze the textural and topolog...
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For identification of a particular human being signatures prove to be an important biometric. The signature of a person is an important biometric attribute of a human being which can be used to authenticate human identity. However human signatures can be handled as an image and recognized using computer vision and neural network techniques. With modern computers, there is need to develop fast a...
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ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2016
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v6i6.pp2665-2673