Recognition of Handwritten Meitei Mayek Script Based on Texture Feature
Sanasam Chanu Inunganbi, Prakash Choudhary · International Journal on Natural Language Computing · 2018
Recognition of Manipuri Script called MeiteiMayek is still in the infant stage due to its complex structure.In this paper, an attempt has been made to develop an offline Meitei Mayek handwritten character recognition model by exploiting the texture feature, Local Binary Pattern (LBP).The system has been developed and evaluated on a large dataset consisting of 3,780 characters which are collected from different people of varying age group.The highest recognition rate achieved by the proposed method is 93.33% using Support Vector Machine (SVM).So, the contribution of this paper is bi-fold: firstly, a collection of a large handwritten corpus of Meitei Mayek Script and secondly developing character recognition model on the collected dataset.