Offline Signature Recognition and Verification System using Efficient Fuzzy Kohonen Clustering Network (EFKCN) Algorithm
نویسندگان
چکیده
منابع مشابه
Neural Network Based Offline Signature Recognition and Verification System
Handwritten signatures are the most natural way of authenticating a person’s identity. An offline signature verification system generally consists of four components: data acquisition, preprocessing, feature extraction, recognition and verification. This paper presents a method for verifying handwritten signature by using NN architecture. In proposed methods the multi-layer perceptron (MLP), mo...
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Despite the growing growth of technology, handwritten signature has been selected as the first option between biometrics by users. In this paper, a new methodology for offline handwritten signature verification and recognition based on the Shearlet transform and transfer learning is proposed. Since, a large percentage of handwritten signatures are composed of curves and the performance of a sig...
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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 star...
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Hand written Signature used as a biometric symbol for various application. Each signature signed by everyone may be distinct at a similar time. So it’s important to have a web processed signature Verification system for differentiate digital signature. A variety of studies regarding off line and online verification systems are introduced by researchers within the last years. The paper provides ...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2017
ISSN: 1877-0509
DOI: 10.1016/j.procs.2017.10.025