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Comparative study on recent text line segmentation methods of unconstrained handwritten scripts

机译：近期无约束手写体文本行分割方法的比较研究

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Different National archives and libraries across the world have preserved available historical handwritten documents which needs electronic transformation for automatic recognition. For achieving this, the line segmentation is a decisive preprocessing stage for document structure extraction and character recognition. If the quality of these documents is poor due to background noise, artefacts and interfering lines, automatic segmentation of text lines is still a burning research issue amongst the natural language processing (NLP) community. During the decade, 1993-2005, a significant progress in this field has been made, but many technical issues still remained unsolved. In the meantime further one decade has passed and therefore there is curiosity to explore the latest status on handwritten line segmentation technology or to find any improvement has been made on any of the existing methods. Keeping this objective in view the present survey has been carried out and an overview of new and modified methods on text line segmentation of handwritten archives published during 2006-2015 are presented. In addition, concise presentation of the methods published during 1993-2005 is also included so that it could benefit to the researchers who are either new or currently carrying out research work in this field.
机译：全世界不同的国家档案馆和图书馆都保留了可用的历史手写文档，这些文档需要进行电子转换才能自动识别。为了实现这一点，行分割是文档结构提取和字符识别的决定性预处理阶段。如果由于背景噪音，伪影和干扰线而导致这些文档的质量很差，那么文本线的自动分割仍然是自然语言处理（NLP）社区中一个紧迫的研究问题。在1993年至2005年这十年间，该领域取得了重大进展，但许多技术问题仍未解决。同时，又过去了十年，因此人们有兴趣探索手写线分割技术的最新状态，或者发现现有方法中的任何改进。考虑到这一目标，本次调查已经进行，并概述了2006-2015年间出版的手写档案文本行分割的新方法和修改方法。此外，还简要介绍了1993-2005年间发表的方法，以使新的或正在从事该领域研究工作的研究人员受益。

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