The "Sanskrit Character Dataset" includes 44 classes of handwritten Sanskrit characters, designed to support research in optical character recognition (OCR) and machine learning for ancient languages. Each class represents a unique Sanskrit letter, collected in various handwriting styles to ensure diversity and robustness. For each class, 50 to 80 images are included. To ensure diversity and real-world applicability, the letters were written in various handwriting styles.

DOI Link: 
10.21227/mczd-kh23
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Dataset Files

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[1] Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza, "Handwriting Sanskrit Character Recognition", IEEE Dataport, 2025. [Online]. Available: http://dx.doi.org/10.21227/mczd-kh23. Accessed: Mar. 16, 2025.
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doi = {10.21227/mczd-kh23},
url = {http://dx.doi.org/10.21227/mczd-kh23},
author = {Md. Ismiel Hossen Abir; Md Jahid; Naznin Sultana Liza },
publisher = {IEEE Dataport},
title = {Handwriting Sanskrit Character Recognition},
year = {2025} }
TY - DATA
T1 - Handwriting Sanskrit Character Recognition
AU - Md. Ismiel Hossen Abir; Md Jahid; Naznin Sultana Liza
PY - 2025
PB - IEEE Dataport
UR - 10.21227/mczd-kh23
ER -
Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza. (2025). Handwriting Sanskrit Character Recognition. IEEE Dataport. http://dx.doi.org/10.21227/mczd-kh23
Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza, 2025. Handwriting Sanskrit Character Recognition. Available at: http://dx.doi.org/10.21227/mczd-kh23.
Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza. (2025). "Handwriting Sanskrit Character Recognition." Web.
1. Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza. Handwriting Sanskrit Character Recognition [Internet]. IEEE Dataport; 2025. Available from : http://dx.doi.org/10.21227/mczd-kh23
Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza. "Handwriting Sanskrit Character Recognition." doi: 10.21227/mczd-kh23