{"title":"基于弹性匹配的在线字符识别系统","authors":"V. Kumar, R. Ahuja","doi":"10.1109/ICIIS.2006.365641","DOIUrl":null,"url":null,"abstract":"In this work we are presenting a simple online character recognition system using elastic matching. In our system, we collected our test data from twenty different writes for uppercase, lowercase and digits. We used the nearest neighbor classifier with elastic matching as between patterns distance measure. We achieved very good recognition accuracy 95.99% for uppercase letters, 92.21% for lowercase letters and 99.11% for digits. We have also shown that putting a rejection threshold may improve the reliability of the recognition system","PeriodicalId":122994,"journal":{"name":"First International Conference on Industrial and Information Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Online Character Recognition System using Elastic Matching\",\"authors\":\"V. Kumar, R. Ahuja\",\"doi\":\"10.1109/ICIIS.2006.365641\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work we are presenting a simple online character recognition system using elastic matching. In our system, we collected our test data from twenty different writes for uppercase, lowercase and digits. We used the nearest neighbor classifier with elastic matching as between patterns distance measure. We achieved very good recognition accuracy 95.99% for uppercase letters, 92.21% for lowercase letters and 99.11% for digits. We have also shown that putting a rejection threshold may improve the reliability of the recognition system\",\"PeriodicalId\":122994,\"journal\":{\"name\":\"First International Conference on Industrial and Information Systems\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Conference on Industrial and Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIIS.2006.365641\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Conference on Industrial and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIIS.2006.365641","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online Character Recognition System using Elastic Matching
In this work we are presenting a simple online character recognition system using elastic matching. In our system, we collected our test data from twenty different writes for uppercase, lowercase and digits. We used the nearest neighbor classifier with elastic matching as between patterns distance measure. We achieved very good recognition accuracy 95.99% for uppercase letters, 92.21% for lowercase letters and 99.11% for digits. We have also shown that putting a rejection threshold may improve the reliability of the recognition system