0
Deep Learning in Archiving Indus Script and Motif Information
Vaishnavi Dixit, Nushrat Hussain, Shubham Basak et al., 2025. Journal of Computer Applications in Archaeology.
A pipeline of three deep-learning models that reads images of Indus Valley seals and files their script signs and motifs in a database.
What it's used for here
The emerging-methods survey lists it as an example of automated sign extraction from an undeciphered script.
Cited by on this site 1 record
1 methods surveys
SRCMathematics
Cite it
Dixit, V., Hussain, N., Basak, S., Atturu, D., Mitra, D., & Bhattacharya, U. (2025). Deep Learning in Archiving Indus Script and Motif Information. Journal of Computer Applications in Archaeology. https://doi.org/10.5334/jcaa.175
@article{dixit2025deep,
author = {Dixit, Vaishnavi and Hussain, Nushrat and Basak, Shubham and Atturu, Deva and Mitra, Debasis and Bhattacharya, Ujjwal},
title = {Deep Learning in Archiving Indus Script and Motif Information},
journal = {Journal of Computer Applications in Archaeology},
year = {2025},
doi = {10.5334/jcaa.175},
url = {https://doi.org/10.5334/jcaa.175}
}TY - JOUR TI - Deep Learning in Archiving Indus Script and Motif Information AU - Dixit, Vaishnavi AU - Hussain, Nushrat AU - Basak, Shubham AU - Atturu, Deva AU - Mitra, Debasis AU - Bhattacharya, Ujjwal PY - 2025 JO - Journal of Computer Applications in Archaeology DO - 10.5334/jcaa.175 UR - https://doi.org/10.5334/jcaa.175 ER -
Dixit, Vaishnavi et al.. “Deep Learning in Archiving Indus Script and Motif Information.” Journal of Computer Applications in Archaeology (2025). https://doi.org/10.5334/jcaa.175.