{"title":"基于特征的神经小波光学字符识别系统","authors":"K. Iftekharuddin, K. Jemili, M. A. Karim","doi":"10.1109/NAECON.1995.522002","DOIUrl":null,"url":null,"abstract":"A hybrid character recognition system is studied using feature extraction method. The features are extracted using wavelet transform, pre-classified using a k-nearest neighbor-based neural net and subsequently post-processed using an optical correlator.","PeriodicalId":171918,"journal":{"name":"Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A feature-based neural wavelet optical character recognition system\",\"authors\":\"K. Iftekharuddin, K. Jemili, M. A. Karim\",\"doi\":\"10.1109/NAECON.1995.522002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A hybrid character recognition system is studied using feature extraction method. The features are extracted using wavelet transform, pre-classified using a k-nearest neighbor-based neural net and subsequently post-processed using an optical correlator.\",\"PeriodicalId\":171918,\"journal\":{\"name\":\"Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.1995.522002\",\"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 of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.1995.522002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A feature-based neural wavelet optical character recognition system
A hybrid character recognition system is studied using feature extraction method. The features are extracted using wavelet transform, pre-classified using a k-nearest neighbor-based neural net and subsequently post-processed using an optical correlator.