A Colour Code Algorithm For Signature Recognition [PDF]
The paper "A Colour Code Algorithm for Signature Recognition" accounts an image processing application where any user can verify signature instantly. The system deals with a Colour code algorithm, which is used to recognize the signature. The paper deals
Vinayak B. Kulkarni
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Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition [PDF]
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 ...
Atefeh Foroozandeh +2 more
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DYNAMIC HANDWRITTEN SIGNATURE IDENTIFICATION USING SPIKING NEURAL NETWORK
The article proposes a method for dynamic signature identification based on a spiking neural network. Three dynamic signature parameters l(t), xy(t), p(t) are used, which are invariant to the signature slope angle, and after their normalization, also to ...
Vladislav Kutsman, Oleh Kolesnytskyj
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Pre-processing of handwritten signature images for following recognition
In the process of handwritten signature recognition, preprocessing is an important step before calculation its informative features. Signatures of any person always have some differences, in addition, they can be of different colors, sizes and ...
U. Yu. Akhundjanov, V. V. Starovoitov
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Offline Signature Recognition and Verification Based on Artifical Neural Network [PDF]
In this paper, a problem for Offline Signature Recognition and Verification is presented. Asystem is designed based on two neural networks classifier and three powerful features (global,texture and grid features).
Mohammed A. Abdala, Noor Ayad Yousif
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HANDWRITTEN SIGNATURE RECOGNITION USING NEURAL NETWORKS
This work is devoted to solving the problem of signature recognition using neural networks. The authors proposed the use of convolutional neural networks to determine the signature class.
Anna V. Pyataeva +4 more
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Study of Principle Component Analysis and Learning Vector Quantization Genetic Neural Networks [PDF]
In this work, the Genetic Algorithm (GA) is used to improve the performance ofLearning Vector Quantization Neural Network (LVQ-NN), simulation results show thatthe GA algorithm works well in pattern recognition field and it converges much fasterthan ...
Mazin Z. Othman, Arif A. Al-Qassar
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Dynamic-signature-based user authentication using a fuzzy classifier [PDF]
Dynamic signature verification is one of the most fast, intuitive, and cost effective tools for user authentication. Dynamic signature recognition uses multiple characteristics in the analysis of an individual’s handwriting.
Ilya Hodashinsky +6 more
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E-invoice authenticity verification scheme based on signature verification
With the rapid development of network and information technology, paperless and electronic have become the development trend of today's economic life.
XIE Rongna, MAO Weihua, SHI Guozhen
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Offline Signature Identification Using Deep Learning and Euclidean Distance
Hand signature is one of human characteristic that human have since birth, which can be used as identity recognition. A high accuracy signature recognition is needed to identify the right owner of signature.
Made Prastha Nugraha +2 more
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