PENGENALAN TULISAN ARAB MENGGUNAKAN UNITED MOMENT INVARIANT DAN MODIFIED QUADRATIC DISCRIMINANT FUNCTION

WIDYANINGRUM, INTAN and Samsuryadi, Samsuryadi and Primartha, Rifkie (2018) PENGENALAN TULISAN ARAB MENGGUNAKAN UNITED MOMENT INVARIANT DAN MODIFIED QUADRATIC DISCRIMINANT FUNCTION. Undergraduate thesis, Sriwijaya University.

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Abstract

Arabic handwriting has a unique number of letters that are almost similar but not identical. The writing style of each person is different in writing Arabic letters so that it becomes a distinguishing factor in the recognition of Arabic writing. The recognition of Arabic handwriting in this study uses United Moment Invariant (UMI) to extract features and Modified Quadratic Discriminant Function (MQDF) as an recognition method. Training data were 560 data and 224 test data in the form of PNG format images with a resolution of 30x30 pixels, the study resulted in accuracy reaching 87.05% in learning rate 0.6 with a processing time of 14 minutes 28 seconds. At learning rate 0.4 the accuracy results reach 88.39% with a processing time of 15 minutes 16 seconds.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Pengenalan, Huruf Arab, Tulisan Tangan Arab, United Moment Invariant, Modified Quadratic Discriminat Function
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:	13 Sep 2019 03:40
Last Modified:	13 Sep 2019 03:40
URI:	http://repository.unsri.ac.id/id/eprint/7313

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