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Peer Review Karya Ilmiah pada Proceeding International dengan Judul: Special Pattern Development for Feature Extraction In Balinese Print Character Recognition System Base on Localized Arc Pattern Me

A.A. Kompiang Oka Sudana, S.Kom., MT., ANAK AGUNG KOMPIANG OKA SUDANA (2012) Peer Review Karya Ilmiah pada Proceeding International dengan Judul: Special Pattern Development for Feature Extraction In Balinese Print Character Recognition System Base on Localized Arc Pattern Me. Proceedings of International Conference on Sustainable Technology Development (ICSTD) , 1. ISSN 978-602-7776-06-7

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Abstract

One of pattern recognition that people usually know is character recognition. Object of character recognition in this research is Balinese print character recognition system. Balinese character is unique, the form of one and the other is almost same and some character is differentiated by one line. Feature extraction of character is conducted by special pattern that is formed from Localized Arc Pattern Methods. Model selection based on apparition each model frequency is got from Balinese character database image. The patterns is formed by the characteristic point in a square 5 x 5 produces 125 pieces of possible initial patterns that can be grouped into an 103 patterns early models. Reduction of processing time is done by selection of 125 patterns that are frequently come up in Aksara Bali. The selection patterns are performed by using computer program to calculate the frequency of each pattern appeared on 600 pieces sample of binary image the Balinese character. Patterns are obtained from the model selection process as many as 23 pieces pattern. The features of image tester are compared with reference feature. These comparisons yield dissimilarity value. Then this value is sorted and the smallest dissimilarity value is used to define whether the character test is recognized or not, through a critical value comparison. The experiment achieved a success rate of 96.4%.

Item Type: Article
Uncontrolled Keywords: pattern recognition, Balinese character recognition, Localized Arc Pattern Methods, special model pattern of Aksara Bali, feature extraction
Subjects: L Education > L Education (General)
Divisions: Faculty of Law, Arts and Social Sciences > School of Education
Depositing User: Mr. Repository Admin
Date Deposited: 07 Jun 2016 21:58
Last Modified: 21 Jun 2016 05:58
URI: http://erepo.unud.ac.id/id/eprint/8012

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