Cahyono, Daniel Setiawan and Wahyuningrum, Shinta Estri (2018) PERBANDINGAN IDENTIFIKASI GAMBAR HURUF YANG TELAH DI MANIPULASI MENGGUNAKAN ALGORITMA ALBP & CHAIN CODE. Seminar Nasional Teknologi Informasi dan komunikasi. ISSN 2089-9815
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Abstract
Optical Character Recognition (OCR) is the way of computer to process an image that contain some text and then try to find any font or number on that image, after that convert it to digital text. Computer could read the text in the image, the digital text can be edited if needed, or used for the next process. For example, to detect the vehicle number plate, once the police number is detected, it can be used to find out the type of vehicle. In this research is testing alphabets identification on the image using Advanced Local Binary Pattern and Chain Code algorithm. Several methods image pre-processing are used, those are images resizing, convert to grayscale colour, edge detection and thinning the edge.
Item Type: | Article |
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Subjects: | 000 Computer Science, Information and General Works > 004 Data processing & computer science |
Depositing User: | Ms Shinta Estri |
Date Deposited: | 18 Oct 2019 08:32 |
Last Modified: | 03 Dec 2019 06:56 |
URI: | http://repository.unika.ac.id/id/eprint/20080 |
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