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Isan Dhamma Characters Segmentation and Reading in Thai

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Advances in Intelligent Informatics, Smart Technology and Natural Language Processing (iSAI-NLP 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 807))

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Abstract

This paper presents Isan Dhamma Characters Segmentation and Reading in Thai, Palm leaf manuscript is considered as a kind of cultural heritage and the record of local wisdom of ancestors that should be transformed into digital format for educational and research benefits of the next generation. This research presents palm leaf manuscript’s Isan Dhamma characters segmentation and reading conducted by using image processing. The objective of this research is to utilize the obtained data in sentence recognition process further. The input was digital photos of a palm leaf manuscript written with Isan Dhamma characters that was proposed to be adjusted on its quality by adjusting light intensity through histogram. Subsequently, its quality was improved by using median filter in order to screen data on enhancement or attenuation of some picture’s properties in order to gain quality as demanded. Subsequently, characters were segmented from background (segmentation) by using Global Thresholding. In the last process, each character was recognized by using the principles of neural network and compared with support vector machine. After conducting the experiment with 10 images of palm leaf manuscript, it was found that neural network gives better effects than support vector machine by 98%.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

    Siriya Phattarachairawee, Montean Rattanasiriwongwut & Mahasak Ketcham

Authors
  1. Siriya Phattarachairawee
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  2. Montean Rattanasiriwongwut
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  3. Mahasak Ketcham
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Corresponding author

Correspondence to Siriya Phattarachairawee .

Editor information

Editors and Affiliations

  1. Sirindhorn International Institute of Technology (SIIT), Thammasat University, Bangkadi Muang Pathumthani, Thailand

    Thanaruk Theeramunkong

  2. Faculty of Science and Technology, Department of Computer Science, Thammasat University, Pathumthani, Thailand

    Rachada Kongkachandra

  3. Department of Information Technology Management, Faculty of Information Technology , King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand

    Mahasak Ketcham

  4. Department of Computer Engineering, Faculty of Engineering, Mahidol University, Nakorn Pathom, Thailand

    Narit Hnoohom

  5. Faculty of Science and Technology, Department of Computer Science, Thammasat University , Pathum Thani, Thailand

    Pokpong Songmuang

  6. National Science and Technology Development Agency, Language and Semantic Technology Laboratory, National Electronics and Computer Technology Center, Pathum Thani, Thailand

    Thepchai Supnithi

  7. Prince of Songkla University , Phuket, Thailand

    Kiyota Hashimoto

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Phattarachairawee, S., Rattanasiriwongwut, M., Ketcham, M. (2019). Isan Dhamma Characters Segmentation and Reading in Thai. In: Theeramunkong, T., et al. Advances in Intelligent Informatics, Smart Technology and Natural Language Processing. iSAI-NLP 2017. Advances in Intelligent Systems and Computing, vol 807. Springer, Cham. https://doi.org/10.1007/978-3-319-94703-7_11

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