ALGORITMA RADIAL BASIS FUNCTION DAN BACKPROPAGATION UNTUK PENGENALAN AKSARA ULU KAGANGA

ANGGRAENI, NURMA DESTY and Samsuryadi, Samsuryadi and Primanita, Anggina (2018) ALGORITMA RADIAL BASIS FUNCTION DAN BACKPROPAGATION UNTUK PENGENALAN AKSARA ULU KAGANGA. Undergraduate thesis, Sriwijaya University.

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Abstract

Handwritten character recognition i one of r search field that has been tudied for a long time. The accuracy of handwriting recognition depends on the image processing proces the feature e traction meth d and the training and testing methods. Other factors u h as the charact r s patt m similarity and th handwriting variations al o affect th r cognition re ult. Preproces ing methods u ed in thi re earch are gray caling, binerization, and thinning the featur xtraction m thod used is Zone entroid Zone (ZCZ). and th algorithm used for recogbnition process is a combination of Radial Ba i Function and Backpropagation algorithms. The r sult of this research is the software i abl to recognize the handwriting of Ulu Ka anga cript with accuracy of 80 3%

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Recognition, handwriting, zone centroid zone, radial basis function, backpropagation.
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	17 Sep 2019 02:39
Last Modified:	17 Sep 2019 02:39
URI:	http://repository.unsri.ac.id/id/eprint/7818

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