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Writer Identification for Handwritten Telugu Documents Using Directional Morphological Features

机译:使用方向形态特征的手写泰卢固语文档作者识别

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Linking a person based on handwritten documents is one of the oldest techniques that is used by crime investigators and forensic scientists. The importance of writer recognition in anthrax letter cases has made this examination popular in recent years. In this paper we propose four feature set namely directional opening, directional closing, direction erosion and k-curvature features for writer recognition on Telugu handwritten documents. Each of the features is extracted from the words after dividing them into a number of cells and then subjected to a nearest neighbor classifier for writer recognition. Although the results of each of the feature set is quite encouraging, the directional opening feature outperforms other feature sets.
机译:基于手写文档链接人是犯罪调查人员和法医科学家使用的最古老的技术之一。近年来,在炭疽字母案件中,作者认可的重要性使这种检查很受欢迎。在本文中,我们提出了四个特征集,分别是方向性打开,方向性关闭,方向腐蚀和k曲率特征,用于泰卢固语手写文档的作者识别。在将单词划分为多个单元格后,从单词中提取每个特征,然后对其进行最近的邻居分类器识别作者。尽管每个功能部件集的结果都令人鼓舞,但定向开放功能部件的性能优于其他功能部件集。

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