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A Model Based Text Line Segmentation Method for Off-line Handwritten Documents

机译:离线手写文档的基于模型的文本行分割方法

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Text line segmentation is one of the important steps for offline handwritten text / handwriting recognition. This paper describes a novel method of text line segmentation based on the physical process of writing. The basic concept behind this segmentation method is: two successive handwritten text-line are always non-intersecting. The proof of the theory is explained with a model of pen-tip movement. The line segmentation is done by arranging the centroids of connected components present in the given text document. Experiments show that the proposed method achieves high accuracy for detecting unconstrained text line of handwritten documents.
机译:文本行分割是离线手写文本/手写识别的重要步骤之一。本文描述了一种基于书写过程的文本行分割的新方法。这种分割方法背后的基本概念是:两个连续的手写文本行始终是不相交的。用笔尖移动模型解释了该理论的证明。通过排列给定文本文档中存在的连接组件的质心来完成线段分割。实验表明,该方法对手写文档无约束的文本行检测具有较高的准确性。

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