Words and characters segmentation is a most indispensable and fundamental task for the handwritten script recognition. However, the complex language structures, deviation in pen breadth and slant in inscription make the feature extraction process very challenging. In this research, a binary quadratic process has been formulated for the word segmentation. It deliberates a co-relationship between the inter-word gap and intra-word gap. The structured support vector machine is used for the experiment. Experimental results of public datasets (i.e., ICDAR2009 and ICDAR2013) show state-of-the-art performance of the designed algorithm.

中文翻译：

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使用结构化支持向量机分割手写单词

单词和字符的分割是手写脚本识别中不可或缺的最基本的任务。但是，复杂的语言结构，笔宽的偏差和铭文的偏斜使特征提取过程非常具有挑战性。在这项研究中，已经为分词制定了二进制的二次过程。它探讨了词间间隙与词内间隙之间的相互关系。实验使用结构化支持向量机。公开数据集（即ICDAR2009和ICDAR2013）的实验结果表明了所设计算法的最新性能。