Academic literature on the topic 'Palm leaf manuscripts'

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Journal articles on the topic "Palm leaf manuscripts"

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Butdisuwan, Sujin, and B. Ramesh Babu. "Preservation and Conservation of Palm Leaf Manuscript Libraries in Mahasarakham Province, Thailand: A Survey." Asian Journal of Information Science and Technology 4, no. 1 (2014): 44–53. http://dx.doi.org/10.51983/ajist-2014.4.1.88.

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Palm leaf manuscripts are one of the earliest forms of written media and were used in Southeast Asia to store early written knowledge about subjects such as medicine,Buddhist doctrine and astrology. Palm leaf manuscripts are available in most of the Buddhist temples in Mahasarakham province. They have very rich and oldest palm leaf and paper manuscripts amongst its collection representing ISAN region(north-east Thailand) and depicts information on Buddhism,cultural, social, political and economic history of people in Isan regions. This paper presents the comprehensive survey of Palm Leaf Manus
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Hinzler, H. I. R. "Balinese palm-leaf manuscripts." Bijdragen tot de taal-, land- en volkenkunde / Journal of the Humanities and Social Sciences of Southeast Asia 149, no. 3 (1993): 438–73. http://dx.doi.org/10.1163/22134379-90003116.

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Sutramiani, Ni Putu, I. Wayan Agus Surya Darma, and Dewa Made Sri Arsa. "Handwritten Balinese Script Recognition on Palm Leaf Manuscript using Projection Profile and K-Nearest Neighbor." Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) 10, no. 3 (2022): 133. http://dx.doi.org/10.24843/jim.2022.v10.i03.p02.

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This paper presents a simple approach to the handwritten Balinese script characters recognition in palm-leaf lontar manuscripts. The Lontar manuscript is one of the cultural heritages found in Bali. Lontar manuscripts are written using a pengrupak, which is a kind of knife for writing on palm leaves. To give color to the results of the writing, candlenut is used so that the writing appears clear. In this paper, we apply the projection profile at the segmentation stage to get the handwritten Balinese script characters in the lontar manuscript. The palm leaf manuscript that we use is the Wariga
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van der Meij, Dick. "Islamic Palm-Leaf Manuscripts from Lombok." Journal of Islamic Manuscripts 13, no. 3 (2022): 265–90. http://dx.doi.org/10.1163/1878464x-01302003.

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Abstract The religious background of manuscripts and texts from Lombok is not always certain. Nevertheless, in view of the overwhelming Muslim population on the island, many texts in manuscripts are inspired by Islam. Most manuscripts in Lombok are written on palm leaves, and these lontar manuscripts used to be kept by the people in great numbers, especially among the Waktu Telu, Muslims who adhere to a local variety of Islam, distinct from mainstream Sunni Islam. Material and non-material aspects of the lontar manuscripts from Lombok are discussed here. Apart from the Sasak inhabitants of Lom
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Navirathan, Gayathiri, and Oshanithi Sivarasa. "Identifying Challenges and Barriers in Collecting, Documenting and Digitizing Palm Leaf Manuscripts in Eastern Sri Lanka." Shanlax International Journal of Arts, Science and Humanities 8, no. 4 (2021): 13–19. http://dx.doi.org/10.34293/sijash.v8i4.3798.

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The palm leaf manuscripts are the sources of the cultural heritage of our ancestors. It is a very crucial part of the librarians or archivists or curators to conserve and preserve them from passing the information and knowledge to successive generations. Palm leaf manuscripts indicate previous documentary heritage and conservation, preservation and made them available shortly is a challenging and demanding task at present. Sri Lanka has a rich history of documentary heritage comprised of valuable palm-leaf collections. In eastern Sri Lanka, the palm leaf manuscripts are spread everywhere as pe
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R, Spurgen Ratheash, and Mohamed Sathik M. "Tamil Character Recognition in Palm Leaf Manuscripts." International Research Journal of Tamil 3, no. 2 (2021): 70–77. http://dx.doi.org/10.34256/irjt21210.

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Tamil characters are of historical significance. The shapes of the character and its writing continued to be changed by several reformers in each century until the period of the nineteenth century. The Tamil characters in the palm leaf manuscripts are based on the author's writing style and strokes in use at the time. Reading palm leaf manuscripts is a challenge for the modern generation who are unaware of the character strokes and writing patterns written in earlier times, and the younger generation neglects to read and understand the contents written in palm leaf manuscripts. To read Tamil p
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Chu, Shimin, Lanying Lin, and Xingling Tian. "Evaluation of the Deterioration State of Historical Palm Leaf Manuscripts from Burma." Forests 14, no. 9 (2023): 1775. http://dx.doi.org/10.3390/f14091775.

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Palm leaf manuscripts were a prevalent literary medium from South Asia and Southeast Asia prior to the widespread use of paper. This study focuses on the analysis of historical palm leaf manuscripts from South and Southeast Asia. Sample palm leaf manuscripts from Burma were used as a case study; simulated palm leaf manuscripts were also created as a reference for comparison. The anatomy, chemical composition, and mechanical properties of the manuscripts were analyzed to find various forms of deterioration, including damage, fractures, pollution, acidification, and microbial deterioration. Spec
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Nishanthi, M., and N. D. Wijayasundara. "Preservation and Conservation of Palm Leaf Manuscripts at the Library of University of Sri Jayewardenepura." Vidyodaya Journal of Humanities and Social Sciences 07, no. 02 (2022): 81–96. http://dx.doi.org/10.31357/fhss/vjhss.v07i02.06.

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Palm leaf manuscripts are one of the vital types of documents containing the indigenous knowledge of Sri Lanka. Treated and seasoned Palmyra leaf was widely used for writing before paper was utilized as writing material. Ancient people were not hesitant to write down their wealth of local knowledge in these palm leaf manuscripts. Today, there is a threat of extinction for the palm leaf manuscripts. The Library, University of Sri Jayewardenepura has launched a project on the Preservation and Conservation of Palm leaf manuscripts to address this issue. This gigantic task is important in preservi
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S, Sujith Kumar, Santhosh B, Guruakash SM, and Pravin Savaridass M. "AI Based Tamil Palm Leaf Character Recognition." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26050.

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A brand-new character recognition method has been created especially for Tamil manuscripts written on palm leaves. A variety of preprocessing techniques are used to obtain reliable recognition because these manuscripts are complicated and have age-related deterioration. Using cutting-edge image processing techniques, manuscript photos are enhanced and preprocessed in the earliest stage to improve clarity. Then, in accordance with the distinctive arrangement of these historical artifacts, these photos are divided into three separate portions. After segmentation, these parts are converted to gra
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Sharma, Deepakshi, Manager Rajdeo Singh, and Bhushan Dighe. "Chromatographic Study on Traditional Natural Preservatives Used for Palm Leaf Manuscripts in India." Restaurator. International Journal for the Preservation of Library and Archival Material 39, no. 4 (2018): 249–64. http://dx.doi.org/10.1515/res-2018-0005.

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Abstract Extracts from plants have been used traditionally for the preservation of palm leaf manuscripts in India. Although these methods are slowly being replaced by modern chemicals, art conservators still prefer herbal plant extracts as fungicides and insecticides. In this study, several traditional herbal extracts from the state of Odisha were studied using GC-MS and their long-term impact on palm leaf manuscripts was substantiated by visual observation. GC-MS results showed the presence of different herbal plant extracts from walnut fruit, Artemisia oil, cinnamon oil, equisetum stem, circ
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Dissertations / Theses on the topic "Palm leaf manuscripts"

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Kesiman, Made Windu Antara. "Document image analysis of Balinese palm leaf manuscripts." Thesis, La Rochelle, 2018. http://www.theses.fr/2018LAROS013/document.

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Les collections de manuscrits sur feuilles de palmier sont devenues une partie intégrante de la culture et de la vie des peuples de l'Asie du Sud-Est. Avec l’augmentation des projets de numérisation des documents patrimoniaux à travers le monde, les collections de manuscrits sur feuilles de palmier ont finalement attiré l'attention des chercheurs en analyse d'images de documents (AID). Les travaux de recherche menés dans le cadre de cette thèse ont porté sur les manuscrits d'Indonésie, et en particulier sur les manuscrits de Bali. Nos travaux visent à proposer des méthodes d’analyse pour les m
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Jarusawat, Piyapat. "An exploration of the potential for collaborative management of palm leaf manuscripts as Lanna cultural material in northern Thailand." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/19631/.

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The cultural heritage of the Lanna region of upper northern Thailand is unique. One of its distinctive features is palm leaf manuscripts (“Khamphi Bailan”), which are viewed simultaneously as examples of sacred writing, means of transferring cultural knowledge, religious symbols, artefacts of beauty, products of a particular cultural tradition, and fragile historical documents. The aim of this study is to develop a model of community-based collection management for palm leaf manuscripts by exploring the views of community members and experts. Four models of community involvement provide possib
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Books on the topic "Palm leaf manuscripts"

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Keladi Museum & Historical Research Bureau та National Archives of India, ред. Catalogue of ancient Tigāḷari palm leaf manuscripts in India. Keladi Museum & Historical Research Bureau], 1997.

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Keladi Museum & Historical Research Bureau. Descriptive catalogue of palm-leaf manuscripts. Edited by Rao S. R. 1922-, Guṇḍājōyis Keḷadi 1931-, and Viśweśwara M. V. Keladi Museum & Historical Research Bureau, 1985.

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Gunawardana, Sirancee. Palm leaf manuscripts of Sri Lanka. s.n.], 1997.

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Sah, Anupam. Save palm leaf manuscript heritage. INTACH, Indian Council of Conservation Institutes, 2001.

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Patnaik, Durga Prasad. Palm leaf etchings of Orissa. Abhinav Publications, 1989.

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Ññvanʻʹ, Moṅʻ Moṅʻ. Mranʻ mā tuiʹ e* ʼa myuiʺ sāʺ yañʻ kyeʺ mhu ʼa mve pe cā purapuikʻ. Cā pe Bimānʻ, 1999.

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Ăllēpola, Dīpāñjanī. Nalpat livīma: Puskoḷa lēkhana sampādanaya saha sampradāya piḷibanda atpotak. Madhyama Saṃskrt̥ika Aramudala, 2007.

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Ăllēpola, Dīpāñjanī. Nalpat livīma. Madhyama Saṃskrt̥ika Aramudala, 2009.

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Sopheap, Kun, Leng Kok-An, and École française d'Extrême-Orient, eds. Inventaire provisoire des manuscrits du Cambodge. École française d'Extrême-Orient, 2004.

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Skilling, Peter. Sayām Bālī wannakam, khamphī Bālī nai sap songkhro̜. Fragile Palm Leaves Foundation, 2002.

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Book chapters on the topic "Palm leaf manuscripts"

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Sagar, B., and Minavathi. "Character Recognition on Palm-Leaf Manuscripts—A Survey." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5802-9_59.

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Chamnongsri, Nisachol. "Metadata Standards for Palm Leaf Manuscripts in Asia." In Metadata and Semantic Research. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14401-2_23.

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Lertratanakehakarn, Prasittichai. "Digital Preservation of Palm-Leaf Manuscripts in Thailand." In The Emergence of Digital Libraries – Research and Practices. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12823-8_2.

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Thuon, Nimol, Jun Du, and Jianshu Zhang. "Improving Isolated Glyph Classification Task for Palm Leaf Manuscripts." In Frontiers in Handwriting Recognition. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21648-0_5.

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Kumar, Deepak, K. Vatsala, Sushmitha Pattanashetty, and S. Sandhya. "Analysis of Segmentation Methods on Isolated Balinese Characters from Palm Leaf Manuscripts." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9059-2_38.

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Bannigidad, Parashuram, and S. P. Sajjan. "Restoration of Ancient Kannada Handwritten Palm Leaf Manuscripts Using Image Enhancement Techniques." In 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28324-6_9.

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Bannigidad, Parashuram, and S. P. Sajjan. "Ancient Kannada Handwritten Character Recognition from Palm Leaf Manuscripts Using PyTesseract-OCR Technique." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60725-7_12.

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Chamnongsri, Nisachol, Lampang Manmart, and Vilas Wuwongse. "A Study of Users’ Requirements in the Development of Palm Leaf Manuscripts Metadata Schema." In The Role of Digital Libraries in a Time of Global Change. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13654-2_15.

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Puarungroj, Wichai, Narong Boonsirisumpun, Pongsakon Kulna, Thanapong Soontarawirat, and Nattiya Puarungroj. "Using Deep Learning to Recognize Handwritten Thai Noi Characters in Ancient Palm Leaf Manuscripts." In Digital Libraries at Times of Massive Societal Transition. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64452-9_20.

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Bannigidad, Parashuram, and S. P. Sajjan. "Restoration of Ancient Kannada Handwritten Palm Leaf Manuscripts with Modified Sauvola Method Using Integral Images." In ICT Analysis and Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6568-7_5.

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Conference papers on the topic "Palm leaf manuscripts"

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Yu, Pengfei, Haiyan Li, Peng Ge, and Hao Zhou. "A Binarization Method for Palm Leaf Manuscripts." In 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2016. http://dx.doi.org/10.1109/ihmsc.2016.198.

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Krishna, M. Preetham, A. Sriram, and N. B. Puhan. "Clustering based image binarization in palm leaf manuscripts." In 2014 IEEE International Advance Computing Conference (IACC). IEEE, 2014. http://dx.doi.org/10.1109/iadcc.2014.6779472.

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Kesiman, Made Windu Antara. "Word Recognition for the Balinese Palm Leaf Manuscripts." In 2019 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom). IEEE, 2019. http://dx.doi.org/10.1109/cyberneticscom.2019.8875634.

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Peng, Ge, PengFei Yu, HaiYan Li, HongSong Li, and XuDong Zhu. "A character segmentation algorithm for the palm leaf manuscripts." In 2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA). IEEE, 2017. http://dx.doi.org/10.1109/ciapp.2017.8167238.

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Sudarsan, Dhanya, and Deepa Sankar. "An Overview of Character Recognition from Palm Leaf Manuscripts." In 2023 3rd International Conference on Smart Data Intelligence (ICSMDI). IEEE, 2023. http://dx.doi.org/10.1109/icsmdi57622.2023.00056.

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Chamchong, Rapeeporn, and Chun Che Fung. "Character segmentation from ancient palm leaf manuscripts in Thailand." In the 2011 Workshop. ACM Press, 2011. http://dx.doi.org/10.1145/2037342.2037366.

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Kesiman, Made Windu Antara, Jean-Christophe Burie, Gusti Ngurah Made Agus Wibawantara, I. Made Gede Sunarya, and Jean-Marc Ogier. "AMADI_LontarSet: The First Handwritten Balinese Palm Leaf Manuscripts Dataset." In 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR). IEEE, 2016. http://dx.doi.org/10.1109/icfhr.2016.0042.

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Sabeenian R S, Paramasivam M E, and Dinesh P M. "Appraisal of localized binarization methods on Tamil palm-leaf manuscripts." In 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2016. http://dx.doi.org/10.1109/wispnet.2016.7566242.

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Valy, Dona, Michel Verleysen, Sophea Chhun, and Jean-Christophe Burie. "Character and Text Recognition of Khmer Historical Palm Leaf Manuscripts." In 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR). IEEE, 2018. http://dx.doi.org/10.1109/icfhr-2018.2018.00012.

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Akhilesh, T. M., Sidharth Sankar J, N. Shobha Rani, and Bipin Nair B J. "Enhancement of Palm Leaf Manuscripts Images Using Deep SegNet Model." In 2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA). IEEE, 2023. http://dx.doi.org/10.1109/iccubea58933.2023.10391990.

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