Improving the Quality and Readability of Ancient Brahmi Stone Inscriptions-Reference-Cited by-同舟云学术

Improving the Quality and Readability of Ancient Brahmi Stone Inscriptions

Published:2023-03-03 Issue: Volume: Page:
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Container-title:2023 2nd International Conference for Innovation in Technology (INOCON)
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Author:

Rajnish Pranav¹,Prajwal Kamath K¹,Kumar Bhuvan¹,Nishanth M¹,Preethi P¹

Affiliation:

1. Computer Science and Engineering PES Univeristy,Bangalore,Karnataka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10100964/10100966/10101244.pdf?arnumber=10101244

Reference18 articles.

1. A Novel Approach to OCR using Image Recognition based Classification for Ancient Tamil Inscriptions in Temples;giridhar;ArXiv,2019

2. Recognizing ancient Sinhala Inscription Characters using Neural Network Technologies;karunarathne;International Journal of Scientific Engineering and Applied Science (IJSEAS,2017

3. DeepNetDevanagari: a deep learning model for Devanagari ancient character recognition

4. Brahmi word recognition by supervised techniques;gautam;Preprints,2020

5. Prehistoric Stone Image Tamil Character Recognition using Optimized Deep Neural Network using Zernike Moments and Simplex Method;prabavathi;Turkish Journal of Computer and Mathematics Education,2021

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1. Deep Learning-powered Mobile App for Early Brahmi Script Decipherment in Sri Lanka;2024 International Research Conference on Smart Computing and Systems Engineering (SCSE);2024-04-04

2. Comparative study: enhancing legibility of ancient Indian script images from diverse stone background structures using 34 different pre-processing methods;Heritage Science;2024-02-20