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All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063
Dharma Laksana, I Kadek
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Computer Science & IT Education

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APLIKASI OCR (OPTICAL CHARACTER RECOGNITION) TULISAN TANGAN AKSARA BALI DENGAN METODE CONTOUR ANALYSIS Dharma Laksana, I Kadek; Gede Sunarya, I Made; Mahendra Darmawiguna, I Gede
KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) Vol 4, No 1 (2015)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/karmapati.v4i1.19796

Abstract

The sophistication of computer development widely used in the processing application Optical Character Recognition (OCR). Optical Character Recognition (OCR) is a mechanical or electronic conversion of scanned images handwritten, typed, or printed text into encoded to computer. Studies on lately OCR provide a method with good accuracy and computational speed is getting lighter. The purpose development of application is for help user in doing translate handwritter aksara into latin.  Implementation of this ocr aksara bali handwritten application uses the contour metode of EmguCV and OpenCV library as the supporter of image recognition process. Autocorellation and Intercorellation as detection of contour method’s fuction. This application is developed by using free software from Microsoft corporate that is Microsoft Visual C# 2010 Express (csharp). The design is done by using the functional form of UML (Unified Modeling Languange) models  The results of this study in the form of OCR-based desktop application which has been successfully developed. The entire functional requirements have been successfully implemented in accordance with the design. Tests on some samples there has also been successfully implemented as well.
Co-Authors I Gede Mahendra Darmawiguna I Made Gede Sunarya