Hangeul Optica Character Recognition on JPEG File

Christian, Albert Budi (2013) Hangeul Optica Character Recognition on JPEG File. Other thesis, Universitas Katholik Soegijapranata Semarang.

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Abstract

Language is the most relevant way to create and communicate knowledge among human. In order to understand language of each country, it should be started from its alphabet. Korean Alphabet has known as Hangeul. It is one of the unique language that most of young people want to learn. People, who use Latin letter, say that learning the Hangeul is not easy. Therefore, the existence of technology application is needed to solve this problem. It is by creating Optical Character Recognition (OCR). In this project, the writer implement the OCR by using the Java Language Programming. The method to be applied to this project is Heuristic and Topological Skeleton Algorithm. Here, the Heuristic Algorithm that the writer made is based on the line character, which each Hangeul letter has. The recognition process systems are thinning image of hangeul, detecting the property of line, and giving the result as text. The result of this project is the latin text,which is recognized from the hangeul image that taken from user camera.

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works > 005 Computer programming, programs & data
Divisions:	Faculty of Computer Science > Department of Informatics Engineering
Depositing User:	mr AM. Pudja Adjie Sudoso
Date Deposited:	19 May 2021 01:54
Last Modified:	19 May 2021 01:54
URI:	http://repository.unika.ac.id/id/eprint/25084

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