Indian Journal of Science and Technology
DOI: 10.17485/ijst/2017/v10i12/113014
Year: 2017, Volume: 10, Issue: 12, Pages: 1-5
Original Article
Nazaruddin1 and Sayed Muchallil2*
1Department of Informatics, Faculty of Mathematic and Natural Science, Syiah Kuala University, Kota Banda Aceh, Aceh – 23111, Indonesia; [email protected] 2Department of Electrical and Computer Engineering, Faculty of Engineering, Syiah Kuala University, Kota Banda Aceh, Aceh – 23111, Indonesia; [email protected]
*Author for correspondence
Sayed Muchallil
Department of Electrical and Computer Engineering, Faculty of Engineering, Syiah Kuala University, Kota Banda Aceh, Aceh – 23111, Indonesia; [email protected]
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
Subscribe now for latest articles and news.
