On developing complete character set Meitei Mayek handwritten character database

D Hijam, S Saharia - The visual computer, 2022 - Springer
This paper introduces a large-scale Meitei Mayek handwritten character database. It
consists of the complete character set of the script. There are a total of 85,124 character …

Convolutional neural network based Meitei Mayek handwritten character recognition

D Hijam, S Saharia - … Interaction: 10th International Conference, IHCI 2018 …, 2018 - Springer
Abstract Off-line Handwritten Character Recognition (HCR) is the process of automatic
conversion of images of handwritten text into a form that computers can understand and …

Towards a complete character set Meitei Mayek handwritten character recognition

D Hijam, S Saharia, Y Nirmal - 2018 Fourth International …, 2018 - ieeexplore.ieee.org
Off-line Handwritten Character Recognition (HCR) is the automatic conversion of text in an
image into letter codes which are usable within computer and text-processing applications …

Convolutional Neural Network Assisted Off-line Handwritten Character Recognition of Meitei Mayek

D Hijam - 2024 - agnee.tezu.ernet.in
The problem of handwritten character recognition (HCR) has been studied extensively over
the last few decades by the research community because of their broad applicability. HCR is …

Comparative study of different classification models on benchmark dataset of handwritten meitei mayek characters

D Hijam, S Saharia - … Conference on Intelligent Computing and Smart …, 2020 - Springer
This paper reports a comparative study of seven popular classification models namely
decision tree, KNN, Linear Support Vector Classifier, Multilayer Perceptron, Random Forest …