在解释、转录和搜索应用中的手写识别范例

V. Govindaraju
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引用次数: 0

摘要

在约束良好的领域中,手写文档的识别已经取得了成功,例如自动识别手写的邮政地址和验证银行支票金额。然而,当词典量非常大时,无约束离线手写识别仍然是一个非常具有挑战性的任务。因此,大量的世界手写体材料,历史手稿和当代文献,仍然是搜索引擎无法访问的。我们将描述我们在实时手写识别方面的开创性工作,这为首次部署端到端手写地址解释系统铺平了道路。我们还将介绍松散约束的应用程序,如索引和搜索手工填写的表单和不受约束的手写文档。我们将总结与我们目前的研究在历史手稿的转录和使用手写网络安全的概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Handwriting Recognition Paradigms in Interpretation, Transcription, and Search Applications
Recognition of handwritten documents has been a success in well-constrained domains, such as automatic recognition of handwritten postal addresses and validating bank check amounts. However, unconstrained offline handwriting recognition is still a very challenging task when lexicon size is very large. Thus, the large amount of handwritten material of the world, historical manuscripts and contemporary documents, are still inaccessible by search engines. We will describe our seminal work in real-time handwriting recognition which paved the way for the first deployment of end-to-end handwritten address interpretation system. We will also present loosely constrained applications such as indexing and searching hand-filled forms and unconstrained handwritten documents. We will conclude with an overview of our current research in transcription of historical manuscripts and using handwriting for web security.
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