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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Retrieval of online handwriting by synthesis and matching
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Retrieval of online handwriting by synthesis and matching

机译:通过综合和匹配检索在线手写

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摘要

Search and retrieval is gaining importance in the ink domain due to the increase in the availability of online handwritten data. However, the problem is challenging due to variations in handwriting between various writers, digitizers and writing conditions. In this paper, we propose a retrieval mechanism for online handwriting, which can handle different writing styles, specifically for Indian languages. The proposed approach provides a keyboard-based search interface that enables to search handwritten data from any platform, in addition to pen-based and example-based queries. One of the major advantages of this framework is that information retrieval techniques such as ranking relevance, detecting stopwords and controlling word forms can be extended to work with search and retrieval in the ink domain. The framework also allows cross-lingual document retrieval across Indian languages.
机译:由于在线手写数据的可用性增加,搜索和检索在墨水领域变得越来越重要。但是,由于各种书写器,数字转换器和书写条件之间的手写变化,该问题具有挑战性。在本文中,我们提出了一种用于在线手写的检索机制,该机制可以处理不同的书写风格,尤其是印度语言。所提出的方法提供了基于键盘的搜索界面,除了基于笔和基于示例的查询之外,该界面还可以从任何平台搜索手写数据。该框架的主要优点之一是可以扩展信息检索技术,例如排名相关性,检测停用词和控制单词形式,以在墨水域中进行搜索和检索。该框架还允许跨印度语言进行跨语言文档检索。

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