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Online Application of Printed Jawi Character Recognition


  • Department of Electrical and Computer Engineering, Faculty of Engineering, Syiah Kuala University, Indonesia


Objectives: In this paper, a system of extracting moment feature based on online system for printed Jawi character recognition was presented. This application was built using PHP programming language. Methods/Analysis: We tested this application by transforming the character into condition: rotating and scaling. We rotated the image character by using 45, 90, 180, and 270 of degree and we scaled by using 2, 3, 4, and 5 scaling factor. Findings: Generally, the online application was able to extract moment invariant feature from a character. This system has around 93.24% suscessful rate of scaling character and 92.98% of rotating character. Novelty/Improvement: This research is the first research of Jawi character recognition for online application.


Jawi Character Recognition, Moment Feature, Moment Invariant, Online OCR.

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