A Benchmark Dataset for Manipuri Meetei-Mayek Handwritten Character Recognition

Published: 26 September 2019| Version 1 | DOI: 10.17632/3337bdvx3v.1
Contributor:
Pangambam Singh

Description

We introduce a handwritten Manipuri Meetei-Mayek script dataset consiting of more than 5000 data samples which were collected from a diverse population group among three different districts of Manipur, India during March and April 2019. The whole dataset is divided into five categories: 1. Mapi Mayek 2. Lonsum Mayek 3. Cheitap Mayek 4. Cheising Mayek 5. Khutam Mayek.

Files

Institutions

Banaras Hindu University

Categories

Optical Character Recognition, Natural Language Processing, Machine Learning, Pattern Recognition

Licence