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Comparison Online to Offline Handwritten Jawi Character Recognition Application

Affiliations

  • Department of Informatics, Faculty of Mathematic and Natural Science, Syiah Kuala University, Kota Banda Aceh, Aceh – 23111, Indonesia
  • Department of Electrical and Computer Engineering, Faculty of Engineering, Syiah Kuala University, Kota Banda Aceh, Aceh – 23111, Indonesia

Abstract


Objectives: This paper investigates processing time comparison of handwritten Jawi characters recognition application between offline and online version. Methods/Analysis: The use of web server for processing offline tasks is considerable. This process is covered by translating offline application code into web-based programming language such as PHP. Total of 100 types of handwritten characters were used for this experiment. These characters were transformed using scaling transformation into four categories. Findings: The result shown online application has better performance than offline. The online application succeeds to extract moment feature of handwritten characters. Novelty/Improvement: The comparison was performed for choosing better Optical Character recognition (OCR) application system: online or offline method.

Keywords

Handwritten Jawi Characters, OCR Performance Comparison, Online OCR, Moment Feature.

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