This dataset presents the recognition of handwritten hieroglyphic alphabets. In this dataset we use consisting of 18 distinct classes of hieroglyphs alphabets. The dataset is designed to facilitate research in the field of ancient script recognition, particularly focusing on handwriting variability and pattern recognition. Each class represents a unique hieroglyph, with samples collected to ensure a diverse range of writing styles. To create this dataset, 25 students each handwrote samples for all 18 classes of hieroglyphs. Afterward, we carefully photographed each image.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza, "Handwriting Hieroglyphs Alphabet Recognition", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/qhw2-d161. Accessed: Dec. 26, 2024.
@data{qhw2-d161-24,
doi = {10.21227/qhw2-d161},
url = {http://dx.doi.org/10.21227/qhw2-d161},
author = {Md. Ismiel Hossen Abir; Md Jahid; Naznin Sultana Liza },
publisher = {IEEE Dataport},
title = {Handwriting Hieroglyphs Alphabet Recognition},
year = {2024} }
TY - DATA
T1 - Handwriting Hieroglyphs Alphabet Recognition
AU - Md. Ismiel Hossen Abir; Md Jahid; Naznin Sultana Liza
PY - 2024
PB - IEEE Dataport
UR - 10.21227/qhw2-d161
ER -
Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza. (2024). Handwriting Hieroglyphs Alphabet Recognition. IEEE Dataport. http://dx.doi.org/10.21227/qhw2-d161
Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza, 2024. Handwriting Hieroglyphs Alphabet Recognition. Available at: http://dx.doi.org/10.21227/qhw2-d161.
Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza. (2024). "Handwriting Hieroglyphs Alphabet Recognition." Web.
1. Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza. Handwriting Hieroglyphs Alphabet Recognition [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/qhw2-d161
Md. Ismiel Hossen Abir, Md Jahid, Naznin Sultana Liza. "Handwriting Hieroglyphs Alphabet Recognition." doi: 10.21227/qhw2-d161