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  1. Nov 29, 2021 · The paper can be in a natural cream colour with text written in black ink, or it can be blackened and text written either with white chalk, a yellow gamboge ink or gold ink. Two main styles of Khmer script are found in manuscripts: aksar chrieng (slanted script) and aksar mul (round script).

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  2. new corpus of digitized Khmer palm leaf manuscripts has been collected. From this corpus, the first Khmer palm leaf manuscripts dataset called “SleukRith Set” consisting of different types of annotated data has been constructed. Experimental evaluations and comparisons of approaches on various DIA tasks such as binarization, text line

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  4. manuscript (Or. 13577). 1. ALPHABETS AND INSCRIPTIONS [11.g.] European paper, various sizes, 39 ff. Copies of 14 Sanskrit and 5 Thai and other documents from Korat, made by L. Mouhot. Cambodian script, etc. SANSKRIT / CAMBODIAN / THAI [Or. 4736] 2. CHEI THAT [26.A.b.] Paper folding book, 33.5 x 10.5 cm, 59 folds. 4 lines per side, 29 cm long.

  5. In 2019, the Buddhist Digital Resource Center embarked on an ambitious project to digitize thousands of endangered manuscripts in Cambodia. More than 1.4 million pages of these precious texts are now digitally archived and available to the world for the first time. Explore our full library and access the BUDA platform for texts from Southeast ...

  6. Such manuscripts are often richly illustrated. Cambodia. The paper used for Khmer books, known as kraing, was made from the inner bark of the paper mulberry tree. In what is now known as Cambodia, kraing literature was stored in pagodas across the country.

  7. Sponsored by A Khmer Buddhist Foundation, this collection includes more than 1.4 million images of manuscripts from Cambodia. 6,170 manuscripts were digitized directly in the field and 5,426 manuscripts were digitized from film copies made by the École française d’Extrême-Orient and the...

  8. Abstract—This paper presents methods for two historical document analysis tasks on digitized Khmer palm leaf manuscripts. The first task consisting of isolated character recognition is conducted utilizing different types of neural network architectures such as CNN, LSTM-RNN, and a combination of both.

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