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Journal of Discrete Mathematical Sciences and Cryptography cover

Journal of Discrete Mathematical Sciences and Cryptography

(Since 1998)
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

CiteScore 2025: 2.7 (Q1)

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Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Journal of Discrete Mathematical Sciences and Cryptography
Open Access Research Article

Development of novel signature architecture for signature recognition

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pp. 1763–1769Vol. 28Issue 5-AAugust 2025DOI: 10.47974/JDMSC-2176 Crossmark XML
Received:
06 Nov 2024
Published Online:
30 Aug 2025
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-2176
Pages:
1763–1769

Abstract

The aim of this research paper is to propose a novel signature recognition system that utilizes deep learning techniques to accurately identify the name of a person based on their handwritten signature. The proposed architecture involves the use of a convolutional neural network (CNN) for feature extraction and a neural network for classification. Experiments were conducted on the GPDS synthetic Signature dataset [1] to evaluate the performance of the model. The results of the experiments showed that the proposed system achieved an impressive training accuracy of 99.98% and a validation accuracy of 84.53% 

Keywords

Signature recognitionConvolutional neural networkVGG16GDPSMachine learning

Subject Classifications

68T0768T4568T0568U10

References

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