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The Bahasa Malaya language is a widely used language of 3 southern border provinces in Thailand. Jawi is an important alphabet of Bahasa Melayu. Handwritten letters are generally used in these areas for studying in elementary school, official communication, documents and use in signs and in government places. Therefore, the purposes of this research were to develop a template matching translation process for Jawi alphabet into Thai language with thresholding techniques. In the initial process, handwritten letters were transformed to typewritten words and creating an image file using 100 image datasets. This research used image processing techniques including color spaces adjustment, thresholding values, gradient direction and Image segmentation. Thus, In the Create Template Matching was stored in a database for translation processes method/ The results provided in this this study can be continued in the next step of research correctly.
Abdullah, A. A. (2008). Southern Thailand: Some grievances of the Patani Malays. The Journal of International Studies, 4(1), 102-111.
Barni, M., Bianchi, T., Catalano, D., Di Raimondo, M., Labati, R. D., Failla, P., . . .& Piva, A. (2010). A privacy-compliant fingerprint recognition system based on homomorphic encryption and fingercode templates. Paper presented at the 2010 fourth IEEE international conference on Biometrics: Theory, Applications and Systems--BTAS (pp.1-7). Washington DC, USA.: IEEE.
Kaur, N., & Kaur, R. (2011). A review on various methods of image thresholding. International Journal on Computer Science and Engineering, 3(10), 3441-3443.
Lin, Z., Davis, L. S., Doermann, D., & DeMenthon, D. (2007). Hierarchical part-template matching for human detection and segmentation. Paper presented at the 2007 IEEE 11th international conference on Computer Vision (pp.1-8), Rio De Janeiro, Brazil: IEEE.
Parhizkar, B., Oteng, K., Ndaba, O., Lashkari, A. H., & Gebril, Z. M. (2013). Ubiquitous mobile real time visual translator using augmented reality for bahasa language. International Journal of Information and Education Technology, 3(2), 124-128.
Raju, P. D. R., & Neelima, G. (2012). Image segmentation by using histogram thresholding. International Journal of Computer Science Engineering and Technology, 2(1), 776-779.
Rohlfing, T., Kroenke, C. D., Sullivan, E. V., Dubach, M. F., Bowden, D. M., Grant, K., & Pfefferbaum, A. (2012). The INIA19 template and NeuroMaps atlas for primate brain image parcellation and spatial normalization. International Journal Frontiers in neuroinformatics, 6(27), 1-15.
Sujji, G. E., Lakshmi, Y., & Jiji, G. W. (2013). MRI brain image segmentation based on thresholding. International Journal of Advanced Computer Research, 3(1), 97.
Vala, H. J., & Baxi, A. (2013). A review on Otsu image segmentation algorithm. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2(2), 387-389.