On developing complete character set Meitei Mayek handwritten character database
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 …
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
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 …
conversion of images of handwritten text into a form that computers can understand and …
Towards a complete character set Meitei Mayek handwritten character recognition
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 …
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 …
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
This paper reports a comparative study of seven popular classification models namely
decision tree, KNN, Linear Support Vector Classifier, Multilayer Perceptron, Random Forest …
decision tree, KNN, Linear Support Vector Classifier, Multilayer Perceptron, Random Forest …