{"title":"手写识别系统-回顾","authors":"Sahil Lamba, Suyash Gupta, Nipun Soni","doi":"10.1109/ICCCIS48478.2019.8974547","DOIUrl":null,"url":null,"abstract":"Recognition of handwriting is an active and difficult study area. The identification mechanism for handwriting plays a very significant part in the globe of today. Recognition of handwriting is a very common and costly job. Currently, finding the right significance of handwritten papers is very hard. There are many places where words, alphabets and digits need to be recognized. There are many postal addresses for applications, bank checks where we have to recognise handwriting. This review article will concentrate on various techniques that are used to recognize handwriting. There are basically two distinct kinds of internet and offline handwriting recognition scheme for handwriting. There are many methods for the identification scheme of offline handwriting. This review document will depict the constraints and superiorities of various techniques used for the identification scheme for handwriting. Recognition of handwriting has been researched over many years. Handwriting identification system can be used to fix many complicated issues and facilitate the job of beings. So this article is an overview with its limitations and precision rate of distinct approaches to handwriting recognition system.","PeriodicalId":436154,"journal":{"name":"2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Handwriting Recognition System- A Review\",\"authors\":\"Sahil Lamba, Suyash Gupta, Nipun Soni\",\"doi\":\"10.1109/ICCCIS48478.2019.8974547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recognition of handwriting is an active and difficult study area. The identification mechanism for handwriting plays a very significant part in the globe of today. Recognition of handwriting is a very common and costly job. Currently, finding the right significance of handwritten papers is very hard. There are many places where words, alphabets and digits need to be recognized. There are many postal addresses for applications, bank checks where we have to recognise handwriting. This review article will concentrate on various techniques that are used to recognize handwriting. There are basically two distinct kinds of internet and offline handwriting recognition scheme for handwriting. There are many methods for the identification scheme of offline handwriting. This review document will depict the constraints and superiorities of various techniques used for the identification scheme for handwriting. Recognition of handwriting has been researched over many years. Handwriting identification system can be used to fix many complicated issues and facilitate the job of beings. So this article is an overview with its limitations and precision rate of distinct approaches to handwriting recognition system.\",\"PeriodicalId\":436154,\"journal\":{\"name\":\"2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCIS48478.2019.8974547\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCIS48478.2019.8974547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recognition of handwriting is an active and difficult study area. The identification mechanism for handwriting plays a very significant part in the globe of today. Recognition of handwriting is a very common and costly job. Currently, finding the right significance of handwritten papers is very hard. There are many places where words, alphabets and digits need to be recognized. There are many postal addresses for applications, bank checks where we have to recognise handwriting. This review article will concentrate on various techniques that are used to recognize handwriting. There are basically two distinct kinds of internet and offline handwriting recognition scheme for handwriting. There are many methods for the identification scheme of offline handwriting. This review document will depict the constraints and superiorities of various techniques used for the identification scheme for handwriting. Recognition of handwriting has been researched over many years. Handwriting identification system can be used to fix many complicated issues and facilitate the job of beings. So this article is an overview with its limitations and precision rate of distinct approaches to handwriting recognition system.