Script Identification Based on HSV Features

摘要：

　　Many similar shaped scripts are used all over the world today.Scripts identification with similar shaped characters is one of the difficulties in script identification field and it need to be resolved.However,there are a little report about identification of Central Asian countries and Chinese Minority scripts,which identification of similar scripts.In this paper,a multi-script database was established,which are including 2200 plain document images with different resolution in 11 scripts such as English,Chinese,Arabic,Russian,Uyghur,Mongol,Tibet,Turkish,Kyrgyzstani,Uzbekistani and Tajikistani.Then,HSV features were extracted from each whole page image and they were classified by using BP neural network classifier.After experiment in our system,it is achieved 88.14% of average identification rate and 99.0% of highest identification rate in our experiment with the dataset.Experimental results indicated that HSV features were effective feature for identify these scripts.

关键词： Script identification HSV features BP neural network

作者: Buvajar Mijit Alimjan Aysa Nurbiya Yadikar Xing-kun Han Kurban Ubul

作者单位: School of Information Science and Engineering,Xinjiang University,Urumqi,830046,Xinjiang,China Network and Information Center,Xinjiang University,Urumqi,830046,Xinjiang,China

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 588-597

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）