Ancient Tamil Character Recognition from Stone Inscriptions – A Theoretical Analysis

S. Dhivya, J. Beulah
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引用次数: 2

Abstract

Character recognition on inscriptions is an area which explores our knowledge of an ancient language. Inscriptions were done in all kinds of environments. This work focuses on recognizing Tamil language characters on stone-based images. From the inscription images, we come to know about the importance of old century languages. Some of the general challenges researchers face in recognizing the characters in stone inscriptions are differentiating the foreground pixel from the background stone images, perspective distortion, different light illumination, the same kind of background/foreground, damaged stones, lack of shape and size of the text. Despite the different ways proposed by the researchers, obstacles and issues continue to exist. This survey attempts to give a detailed analysis of the recent research works on character recognition from the images of stone inscriptions with a special reference to Tamil. It details the methods applied for preprocessing, feature extraction and classification. It gives a road map for future researchers who wish to carry out research in this area.
从石刻辨认古泰米尔文字——一个理论分析
碑文文字识别是探索古代语言知识的一个领域。碑文是在各种环境下完成的。这项工作的重点是识别基于石头的图像上的泰米尔语字符。从铭文图像中,我们了解到上世纪语言的重要性。研究人员在识别石刻文字时所面临的一些普遍挑战是区分前景像素与背景石图像、透视失真、不同光照、背景/前景相同、石刻损坏、文字形状和大小缺乏。尽管研究人员提出了不同的方法,但障碍和问题仍然存在。本文试图对近年来以泰米尔文为特别对象的石刻文字图像识别研究工作进行详细分析。详细介绍了图像预处理、特征提取和分类的方法。它为希望在这一领域开展研究的未来研究人员提供了路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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