Improved shape code based word matching for multi-script documents

T. Mondal, Arundhati Tarafdar, N. Ragot, Jean-Yves Ramel, U. Pal
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Abstract

In this paper, we propose a shape code based wordimage matching (word-spotting) technique for word retrieval in multilingual documents, written in Indian languages. Each query word image to be searched is represented by a sequence of shape codes that corresponds to primitives. Then an inexact string matching technique is applied for measuring the similarity between the codes generated from the query word image and each candidate word images, obtained from the document. Based on the similarity score, we retrieve the document where the query image is found. Experimental results on Bangla, Devanagari scripts document image databases confirms the feasibility and efficiency of our proposed approach.
改进的基于形状代码的多脚本文档单词匹配
在本文中,我们提出了一种基于形状码的词图匹配(词点)技术,用于多语言印度语文档的词检索。要搜索的每个查询词图像都由对应于原语的形状代码序列表示。然后使用非精确字符串匹配技术来度量从查询词图像生成的代码与从文档中获得的每个候选词图像之间的相似度。基于相似度分数,我们检索找到查询图像的文档。在孟加拉语、德文语文本图像数据库上的实验结果证实了本文方法的可行性和有效性。
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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