Transcription of Ancient Indian Manuscripts Through Artificial Intelligence—Current Status of Technology and the Way Forward

Author:

Harish R.,Raghavendra Rao G. N.

Publisher

Springer Nature Singapore

Reference18 articles.

1. Wigington C, Tensmeyer C, Davis B, Barrett W, Price B, Cohen S (2018) Start, follow, read: end-to-end full page handwriting recognition. In: Computer Vision Foundation. eccv 2018 Springer

2. Hauer B, Kondrak G (2016) Decoding anagrammed texts written in an unknown language and script. Trans Assoc Comput Linguist 4:75–86

3. Firmani D, Merialdo P, Nieddu E, Scardapane S (2017) In Codice ratio: OCR of handwritten Latin documents using deep convolutional networks. In: Proceedings of the 11th international workshop on artificial intelligence for cultural heritage (AI*CH 2017)

4. Guéville E, Wrisley DJ (2022) Transcribing medieval manuscripts for machine learning. Cornell University—Computer Science—Digital Libraries. https://arxiv.org/abs/2207.07726, https://www.researchgate.net/publication/362089873_Transcribing_Medieval_Manuscripts_for_Machine_Learning/link/62d625f5bf4b98532233d9f3/download

5. Horton M (2021) Deciphering ancient texts with AI. Nvidia Developer, Technical Blog. https://developer.nvidia.com/blog/deciphering-ancient-texts-with-ai/.

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