Ant Colony Clustering Algorithm for Handwritten Arabic Numeral Recognition

摘要：

　　This article is based on Ant Colony Clustering Algorithm for Handwritten Arabic Numeral Recognition on an image.Under the precondition of the clustering numbers are known and a adequate treatment process was developed for the image, we carry through cluster analysis to digital image by experiment.The article elaborates on the basic concepts and the algorithms principle of Ant Colony Clustering Algorithm.The workflow to the algorithmic flow of Ant Colony Clustering Algorithm will be elaborated in the following chapters.The paper also detailed discuss the implement of the algorithm.

关键词： Ant Colony Algorithm Clustering Analysis Handwritten Arabic Numeral Recognition

作者: Kaihua HU Bingxiang LIU Yujing ZHANG

作者单位: Jingdezhen Ceramic Institute,Jingdezhen 333001,China School of information Engineering,Jingdezhen Ceramic Institute,Jingdezhen 333002,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 261-264

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）