孟加拉文手写体识别技术综述

Tapotosh Ghosh, M. Abedin, Shayer Mahmud Chowdhury, M. Yousuf
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引用次数: 11

摘要

在OCR中,手写字符识别是一项具有挑战性的任务,对于像孟加拉语这样的草书和复杂字符集,实现起来更加困难。许多研究者提出了不同的识别孟加拉手写体字符集的方法。它是通过分析字符的结构或通过一些机器学习过程来完成的。本文对现有的手写体基本字和复合字识别方法进行了分析和综述。本文介绍了方法、成功率、局限性和未来的发展方向。本文的目的是找出系统需要改进的领域,为建立一个理想的孟加拉语手写字符识别系统做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comprehensive Review on Recognition Techniques for Bangla Handwritten Characters
Handwritten character recognition is a challenging task in OCR and for a cursive and complex character set like Bangla, it is even harder to implement. Many researchers have proposed different methods for recognizing Bangla Handwritten character set. It is done through analyzing the structure of the characters or through some machine learning process. This paper represents an analysis and overview of the existing methods for recognizing handwritten basic and compound characters. Methods, success rate, limitations and future scope has been mentioned in this paper. The purpose of this paper is to find out the fields in which the systems necessitate improvement and contribute to establish an ideal Bangla Handwritten Character Recognition System.
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