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On the use of edge features and exponential decaying number of nodes in the hidden layers for handwritten signature recognition

Gunawan, Teddy Surya and Kartiwi, Mira (2018) On the use of edge features and exponential decaying number of nodes in the hidden layers for handwritten signature recognition. Indonesian Journal of Electrical Engineering and Computer Science, 12 (2). pp. 722-728. ISSN 2502-4752

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Abstract

Handwritten signatures are playing an important role in finance, banking and education and more because it is considered the “seal of approval” and remains the most preferred means of authentication. In this paper, an offline handwritten signature authentication algorithm is proposed using the edge features and deep feedforward neural network (DFNN). The number of hidden layers in DFNN is configured to be at least one layer and more. In this paper, an exponential decaying number of nodes in the hidden layers was proposed to achieve better recognition rate with reasonable training time. Of the six edge algorithms evaluated, Roberts operator and Canny edge detectors were found to produce better recognition rate. Results showed that the proposed exponential decaying number of nodes in the hidden layers outperform other structure. However, more training data was required so that the proposed DFNN structure could have more efficient learning.

Item Type: Article (Journal)
Additional Information: 5588/66217
Uncontrolled Keywords: offline handwritten signature; edge detection; exponential decaying; hidden layers; deep feedforward neural network.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Dr Teddy Surya Gunawan
Date Deposited: 12 Sep 2018 10:17
Last Modified: 12 Sep 2018 10:17
URI: http://irep.iium.edu.my/id/eprint/66217

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