PERBANDINGAN HASIL SEGMENTASI KATA TULISAN TANGAN ARAB MENGGUNAKAN EKSTRAKSI FITUR ZONING DAN WUMI

SURIYANTO, ACHMAD DWI and Samsuryadi, Samsuryadi (2018) PERBANDINGAN HASIL SEGMENTASI KATA TULISAN TANGAN ARAB MENGGUNAKAN EKSTRAKSI FITUR ZONING DAN WUMI. Undergraduate thesis, Sriwijaya University.

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Abstract

Word segmentation is one of stages on the handwriting Arabic character recognition process. Characteristics of writing Arabic words and characters are have many variations and similarities between characters, thus the accuracy of segmentation system results is not yet qualified. In this study, comparison of handwritten Arabic words using zoning and WUMI features extraction was compared. The segmentation process applies the method of over segmentation and segmentation validation. The results of handwritten Arabic word segmentation comparation using the zoning and WUMI features extraction, is that the AZZC (Adaptive Zoning Zone Characteristics-based) feature has the highest word segmentation accuracy which is 54.16%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Segmentasi kata Arab, Over segmentation, Fitur zoning, Fitur moment, Random Forests, Weighted United Moment Invariant (WUMI), Adaptive Zoning, Static Zoning, Pixel Density, Line Segments, Zone Characteristics
Subjects:	T Technology > T Technology (General) > T58.4 Managerial control systems Information technology. Information systems (General) 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:	25 Sep 2019 08:42
Last Modified:	25 Sep 2019 08:42
URI:	http://repository.unsri.ac.id/id/eprint/8906

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