{"title":"使用机器学习方法的手写字符识别-调查","authors":"S. Patel, Jasmine Jha","doi":"10.1109/EESCO.2015.7253978","DOIUrl":null,"url":null,"abstract":"Handwritten character recognition is a very popular due to its wide range of application. Processing application forms, digitizing ancient articles, postal address processing, bank cheque processing and many others are the growing fields in area of handwritten character processing. Handwritten character is attracting researchers since last 3 decades. Many approaches have been proposed for effective recognition. In this paper, we have shown the detail survey on handwritten character recognition using neural network as a machine learning approache.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"518 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Handwritten character recognition using machine learning approach - A survey\",\"authors\":\"S. Patel, Jasmine Jha\",\"doi\":\"10.1109/EESCO.2015.7253978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Handwritten character recognition is a very popular due to its wide range of application. Processing application forms, digitizing ancient articles, postal address processing, bank cheque processing and many others are the growing fields in area of handwritten character processing. Handwritten character is attracting researchers since last 3 decades. Many approaches have been proposed for effective recognition. In this paper, we have shown the detail survey on handwritten character recognition using neural network as a machine learning approache.\",\"PeriodicalId\":305584,\"journal\":{\"name\":\"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)\",\"volume\":\"518 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EESCO.2015.7253978\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EESCO.2015.7253978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Handwritten character recognition using machine learning approach - A survey
Handwritten character recognition is a very popular due to its wide range of application. Processing application forms, digitizing ancient articles, postal address processing, bank cheque processing and many others are the growing fields in area of handwritten character processing. Handwritten character is attracting researchers since last 3 decades. Many approaches have been proposed for effective recognition. In this paper, we have shown the detail survey on handwritten character recognition using neural network as a machine learning approache.