PENGENALAN HURUF HIJAIYAH TULISAN TANGAN DENGAN MENGGUNAKAN EKSTRAKSI CIRI GEOMETRIC MOMENT INVARIANT DAN SELF ORGANIZING MAPS

ARMILIA, SONIA and Efendi, Rusdi (2018) PENGENALAN HURUF HIJAIYAH TULISAN TANGAN DENGAN MENGGUNAKAN EKSTRAKSI CIRI GEOMETRIC MOMENT INVARIANT DAN SELF ORGANIZING MAPS. Undergraduate thesis, Sriwijaya University.

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Abstract

Handwriting hijaiyah recognition has a high degree of difficulty. Handwriting recognition problems are the size and shape of handwriting that are not fixed. This study aims to develop Self Organizing Maps (SOM) Algorithm to recognize handwritten hijaiyah. Also in this study using extraction feature Geometric Moment Invariant (GMI). The data used in the study using primary data in the form of handwritten hijaiyah image. The result of handwriting hijaiyah recognition using GMI and SOM has an accuracy of 95%.Because in the extraction of GMI characteristics unchanged on rotational treatment, this study made the introduction of handwriting hijaiyah data that rotated with an accuracy of 92%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Huruf Hijaiyah, Tulisan Tangan, Ekstraksi Ciri, Geometric Moment Invariant, Self Organizing Maps.
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mr Halim Sobri
Date Deposited:	19 Sep 2019 06:07
Last Modified:	19 Sep 2019 06:07
URI:	http://repository.unsri.ac.id/id/eprint/8099

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