{"title":"基于遗传算法的汉字识别后处理研究","authors":"Ke-jian Wang, Xue-dong Tian, Bao-lan Guo","doi":"10.1109/ICMLC.2002.1175329","DOIUrl":null,"url":null,"abstract":"In order to improve the accuracy of a character recognition system, especially to improve recognition rate, it is positively significant to introduce an excellent post-processing method. A Chinese character recognition post-processing (CCRP) based on genetic algorithm is introduced in this paper. The genetic algorithm relies on the Chinese character itself and context information. Experiment shows that this method obtains quite good result. The character recognition rate of the tested text is from 94.99% to 95.92% after post-processing and improves 0.93%.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"21 1","pages":"1718-1721 vol.4"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research on Chinese character recognition post-processing based on genetic algorithm\",\"authors\":\"Ke-jian Wang, Xue-dong Tian, Bao-lan Guo\",\"doi\":\"10.1109/ICMLC.2002.1175329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the accuracy of a character recognition system, especially to improve recognition rate, it is positively significant to introduce an excellent post-processing method. A Chinese character recognition post-processing (CCRP) based on genetic algorithm is introduced in this paper. The genetic algorithm relies on the Chinese character itself and context information. Experiment shows that this method obtains quite good result. The character recognition rate of the tested text is from 94.99% to 95.92% after post-processing and improves 0.93%.\",\"PeriodicalId\":90702,\"journal\":{\"name\":\"Proceedings. International Conference on Machine Learning and Cybernetics\",\"volume\":\"21 1\",\"pages\":\"1718-1721 vol.4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2002.1175329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1175329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Chinese character recognition post-processing based on genetic algorithm
In order to improve the accuracy of a character recognition system, especially to improve recognition rate, it is positively significant to introduce an excellent post-processing method. A Chinese character recognition post-processing (CCRP) based on genetic algorithm is introduced in this paper. The genetic algorithm relies on the Chinese character itself and context information. Experiment shows that this method obtains quite good result. The character recognition rate of the tested text is from 94.99% to 95.92% after post-processing and improves 0.93%.
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