A Review on Various MODI Text Recognition Techniques

Author:

Shirkande Aparna,Agarwal Alok

Abstract

MODI script is an ancient language of the Marathi people. MODI script is used to write the Marathi language, which is the mother language of Maharashtra, India. To understand this ancient language here we analyze text recognition techniques. MODI script was used primarily by administrative people to keep their accounts, as well as most of the revenue documents, were written in MODI language. For recognition of such text, number of image processing techniques are used. The official scriptures of Goa were previously written in this 17th-century Balbodh style of Devanagari, which is currently being restored. It is now a practical visual reminder of the former Maratha era and a specialized research skill; it is a technological key required primarily to access the Maratha state's empirical history through these archive resources. This paper explains the previous analysis of MODI text recognition. MODI text recognition system is well explained with the help of a generalized text recognition system model. The model includes image acquisition, normalization, binarization, segmentation, feature extraction, training, and classification lastly recognized image. Numerous optional strategies that have been used in various identification systems are available for each level. The history of the Maratha dynasty and other significant facts can be revealed in numerous MODI manuscripts by using these different techniques to identify MODI characters. Also, some applications of text recognition are explained in this paper.

Publisher

MAT Journals

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advancements and Trends in CNN-Based Handwritten Text Recognition: A Comprehensive Survey;International Journal of Advanced Research in Science, Communication and Technology;2024-04-23

2. MODI Script Handwritten Characters Recognition with Convolutional Neural Networks and Transfer Learning Algorithm;Lecture Notes in Electrical Engineering;2024

3. A Review of Advances and Challenges in Modi Character Recognition;International Journal of Advanced Research in Science, Communication and Technology;2023-12-12

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