Signature Pattern Recognition using Kohonen Network

A signature is a special form of handwriting that used for human identification process. The current identification process is extremely ineffective. People have to manually compare signatures with the previously stored data. This study proposed SOM Kohonen algorithm as the method of signature patte...

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Main Authors:	Nadia Roosmalita Sari, Moh. Zoqi Sarwani, Yudha Alif Aulia, Wayan Firdaus Mahmudy
Format:	Article
Language:	English
Published:	Universitas Negeri Malang 2018-08-01
Series:	Knowledge Engineering and Data Science
Online Access:	http://journal2.um.ac.id/index.php/keds/article/view/1720

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record_format	Article
spelling	doaj-f22134feb7e74947bb8ec70d1d6381ce2020-11-25T03:24:24ZengUniversitas Negeri MalangKnowledge Engineering and Data Science2597-46022597-46372018-08-0112394510.17977/um018v1i22018p39-452516Signature Pattern Recognition using Kohonen NetworkNadia Roosmalita Sari0Moh. Zoqi Sarwani1Yudha Alif Aulia2Wayan Firdaus Mahmudy3(Scopus ID: Universitas Brawijaya)University of Merdeka Pasuruan/Universitas BrawijayaUniversitas BrawijayaUniversitas BrawijayaA signature is a special form of handwriting that used for human identification process. The current identification process is extremely ineffective. People have to manually compare signatures with the previously stored data. This study proposed SOM Kohonen algorithm as the method of signature pattern recognition. This method has able to visualize high-dimensional data. The image processing method is used in this study in pre-processing data phase. The accuracy of SOM Kohonen was 70 %, indicated the method used was good enough for pattern recognition.http://journal2.um.ac.id/index.php/keds/article/view/1720
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Nadia Roosmalita Sari Moh. Zoqi Sarwani Yudha Alif Aulia Wayan Firdaus Mahmudy
spellingShingle	Nadia Roosmalita Sari Moh. Zoqi Sarwani Yudha Alif Aulia Wayan Firdaus Mahmudy Signature Pattern Recognition using Kohonen Network Knowledge Engineering and Data Science
author_facet	Nadia Roosmalita Sari Moh. Zoqi Sarwani Yudha Alif Aulia Wayan Firdaus Mahmudy
author_sort	Nadia Roosmalita Sari
title	Signature Pattern Recognition using Kohonen Network
title_short	Signature Pattern Recognition using Kohonen Network
title_full	Signature Pattern Recognition using Kohonen Network
title_fullStr	Signature Pattern Recognition using Kohonen Network
title_full_unstemmed	Signature Pattern Recognition using Kohonen Network
title_sort	signature pattern recognition using kohonen network
publisher	Universitas Negeri Malang
series	Knowledge Engineering and Data Science
issn	2597-4602 2597-4637
publishDate	2018-08-01
description	A signature is a special form of handwriting that used for human identification process. The current identification process is extremely ineffective. People have to manually compare signatures with the previously stored data. This study proposed SOM Kohonen algorithm as the method of signature pattern recognition. This method has able to visualize high-dimensional data. The image processing method is used in this study in pre-processing data phase. The accuracy of SOM Kohonen was 70 %, indicated the method used was good enough for pattern recognition.
url	http://journal2.um.ac.id/index.php/keds/article/view/1720
work_keys_str_mv	AT nadiaroosmalitasari signaturepatternrecognitionusingkohonennetwork AT mohzoqisarwani signaturepatternrecognitionusingkohonennetwork AT yudhaalifaulia signaturepatternrecognitionusingkohonennetwork AT wayanfirdausmahmudy signaturepatternrecognitionusingkohonennetwork
_version_	1724601748213989376

Signature Pattern Recognition using Kohonen Network

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