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标题：Proposed Algorithm for HCRUsing K-Means Clustering Algorithm
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作者：Meha Mathur ; Anil Saroliya ; Varun Sharma 等
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：6
页码：6402-6404
出版社：IJECS
摘要：India is a multi-linguisticcountry and Hindi is a national language of India. There is no such work has been done onoffline recognition of Hindi characters so that the Hindi data is stored digitally and the paper work will reduce and the dataalso store safely for the long period of time because as we know that the data on the paper is not secure, paper may lost or mayget faded. Therefore in this paper an algorithm is proposed torecognize the Hindi character optically using k-means clusteringalgorithm. HCR is not same as the English character recognition because Hindi characters are joined together with theshirorekha which is the line on the upper part of the characters and in English language there is no shirorekha. So in Englishthere is no need to remove that shirorekha but for recognize Hindi character it is necessary.K-means clustering algorithm is used for cluster the same data into their respective clusters and for classification.The objectiveof this paper is to provide a high performance OCR solution for Devanagari script that can help in exploring futureapplications such as navigation, for ex. traffic sign recognition in foreign lands etc.
关键词：OCR; HCR; Hindi; Shrirorekha; Pre-processinig; Segmentation; Feature Vector; Classification; Devnagari