- R. Chamchong and C. C. Fung, “Character segmentation from ancient palm leaf manuscripts in Thailand,” in 2011 Workshop on Historical Document Imaging and Processing, Beijing, China, Sept. 2011, pp. 140-145. doi: 10.1145/2037342.2037366
- R. Chamchong and C. C. Fung, “Text line extraction using adaptive partial projection for palm leaf manuscripts from Thailand,” in 2012 International Conference on Frontiers in Handwriting Recognition, Bari, Italy, Sep. 2012, pp. 588–593. doi: 10.1109/ICFHR.2012.280
- D. Valy, M. Verleysen, S. Chhun, and J.-C. Burie, “A new Khmer palm leaf manuscript dataset for document analysis and recognition – Sleukrith set,” in 4th International Workshop on Historical Document Imaging and Processing, Kyoto, Japan, Nov. 2017, pp. 1-6. doi: 10.1145/3151509.3151510
- D. Valy, M. Verleysen, and K. Sok, “Line segmentation approach for ancient palm leaf manuscripts using competitive learning algorithm,” in 15th International Conference on Frontiers in Handwriting Recognition, Shenzhen, China, Oct. 2016, pp. 108-113. doi: 10.1109/ICFHR.2016.0032
- M. W. A. Kesiman, J. C. Burie, J. M. Ogier, and P. Grangé, “Knowledge and phonological rules for the automatic transliteration of Balinese Script on palm leaf manuscript,” Computación y Sistemas, vol. 21, no. 4, pp. 1-9, 2018. doi: 10.13053/cys-21-4-2851
- M. W. A. Kesiman, J.-C. Burie, and J.-M. Ogier, “A complete scheme of spatially categorized glyph recognition for the transliteration of Balinese palm leaf manuscripts,” in IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japan, Nov. 2017, pp. 125–130. doi: 10.1109/ICDAR.2017.29
- D. Doermann and K. Tombre, Eds., Handbook of document image processing and recognition. London: Springer London, 2014. doi: 10.1007/978-0-85729-859-1
- M. W. A. Kesiman, “Word recognition for the Balinese palm leaf manuscripts,” in EEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), Banda Aceh, Indonesia, Aug. 2019, pp. 72–76. doi: 10.1109/CYBERNETICSCOM.2019.8875634
- M. W. A. Kesiman, S. Prum, J.-C. Burie, and J.-M. Ogier, “Study on feature extraction methods for character recognition of Balinese script on palm leaf manuscript images,” in 23rd International Conference on Pattern Recognition, Cancun, Mexico, Dec. 2016, pp. 4017-4022. doi: 10.1109/ICPR.2016.7900262
- M. Kesiman et al., “Benchmarking of document image analysis tasks for palm leaf manuscripts from Southeast Asia,” Journal of Imaging, vol. 4, no. 2, 43, 2018. doi: 10.3390/jimaging4020043
- Tom, ocropy: Python-based tools for document analysis and OCR. 2018
- M. Suryani, E. Paulus, S. Hadi, U. A. Darsa, and J.-C. Burie, “The handwritten Sundanese palm leaf manuscript dataset from 15th century,” in IAPR International Conference on Document Analysis and Recognition, Kyoto, Japan, Nov. 2017, pp. 796-800. doi: 10.1109/ICDAR.2017.135
- P. Shishtla, V. S. Ganesh, S. Subramaniam, and V. Varma, “A language-independent transliteration schema using character aligned models at NEWS 2009,” in 2009 Named Entities Workshop: Shared Task on Transliteration, Suntec, Singapore, Aug. 2009, pp. 40-43. doi: 10.3115/1699705.1699715
- N. AbdulJaleel and L. S. Larkey, “English to Arabic transliteration for information retrieval: a statistical approach,” in International Conference on Information and Knowledge Management, Orleans, USA, Nov. 2004, pp. 139-146
- A. Finch and E. Sumita, “Transliteration using a phrase-based statistical machine translation system to re-score the output of a joint multigram model,” in Named Entities Workshop, Uppsala, Sweden, Jul. 2010, pp. 48–52
- L. Pretkalnina, P. Paikens, N. Gruzitis, L. Rituma, and A. Spektors, “Making historical latvian texts more intelligible to contemporary readers,” in LREC Workshop on Adaptation of Language Resources and Tools for Processing Cultural Heritage Objects, Istanbul, Turkey, May 2012, pp. 1-7
- T. M. Breuel, A. Ul-Hasan, M. A. Al-Azawi, and F. Shafait, “High-Performance OCR for printed English and fraktur using LSTM networks,” in International Conference on Document Analysis and Recognition, Washington, USA, Aug. 2013, pp. 683–687. doi: 10.1109/ICDAR.2013.140
- M. Jenckel, S. S. Bukhari, and A. Dengel, “anyOCR: A sequence learning based OCR system for unlabeled historical documents,” in International Conference on Pattern Recognition, Cancun, Mexico, Dec. 2016, pp. 4035–4040. doi: 10.1109/ICPR.2016.7900265
- A. Ul-Hasan and T. M. Breuel, “Can we build language-independent OCR using LSTM networks?,” in International Workshop on Multilingual OCR, Washington, USA, Aug. 2013, pp. 1-5. doi: 10.1145/2505377.2505394
- M. W. A. Kesiman, J.-C. Burie, J.-M. Ogier, G. N. M. A. Wibawantara, and I. M. G. Sunarya, “AMADI_LontarSet: the first handwritten Balinese palm leaf manuscripts dataset,” in International Conference on Frontiers in Handwriting Recognition, Shenzhen, China, Oct. 2016, pp. 168–172. doi: 10.1109/ICFHR.2016.0042
Last update:
-
Human motion recognition information processing system based on LSTM Recurrent Neural Network Algorithm
Xieji li, Xia Cao.
Journal of Ambient Intelligence and Humanized Computing,
14 (7),
2023.
doi: 10.1007/s12652-021-03614-x
-
Financial Crisis Prediction Based on Long-Term and Short-Term Memory Neural Network
Tang Ling, Yinying Cai, Zhiguo Qu.
Wireless Communications and Mobile Computing,
2022 ,
2022.
doi: 10.1155/2022/5728470
Last update: 2025-07-20 10:16:16
No citation recorded.
Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro

This work is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.
Starting from 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.
The author(s) guarantee that:
- their article is original, written by the mentioned author(s),
- has never been published before,
- does not contain statements that violate the law, and
- does not violate the rights of others, is subject to copyright held exclusively by the author(s), is free from the rights of third parties, and the necessary written permission to quote from other sources has been obtained by the author(s).
The author(s) retain all rights to the published work, such as (but not limited to) the following rights:
- Copyright and other proprietary rights related to the article, such as patents,
- The right to use the substance of the article in its own future works, including lectures and books,
- The right to reproduce the article for its own purposes,
- The right to archive all versions of the article in any repository, and
- The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal (Jurnal Teknologi dan Sistem Komputer).
Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. JTSiskom will not be held responsible for anything arising because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.
Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.