{"title":"基于比例不变识别技术的泰文手写分割","authors":"A. Chatchinarat","doi":"10.1109/ICFCC.2009.53","DOIUrl":null,"url":null,"abstract":"Handwritten character recognition has been an on-going research in many languages for many years. Most techniques focus on isolate recognition. However, if a writer writes at fast speed, two or more characters can be written within one stroke. This input cannot be used to recognition. Previously I present the method to separate two characters connected Thai handwriting. This paper presents the method to separate connected Thai handwriting based on a modified water-reservoir and Proportional Invariant Recognition technique to separate two or more characters. The proposed technique find candidate segmentation points (include correctly segmentation points) at 92.8% and segment correctly at 87.6%.","PeriodicalId":338489,"journal":{"name":"2009 International Conference on Future Computer and Communication","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Thai Handwritten Segmentation Using Proportional Invariant Recognition Technique\",\"authors\":\"A. Chatchinarat\",\"doi\":\"10.1109/ICFCC.2009.53\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Handwritten character recognition has been an on-going research in many languages for many years. Most techniques focus on isolate recognition. However, if a writer writes at fast speed, two or more characters can be written within one stroke. This input cannot be used to recognition. Previously I present the method to separate two characters connected Thai handwriting. This paper presents the method to separate connected Thai handwriting based on a modified water-reservoir and Proportional Invariant Recognition technique to separate two or more characters. The proposed technique find candidate segmentation points (include correctly segmentation points) at 92.8% and segment correctly at 87.6%.\",\"PeriodicalId\":338489,\"journal\":{\"name\":\"2009 International Conference on Future Computer and Communication\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Future Computer and Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICFCC.2009.53\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Future Computer and Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFCC.2009.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Thai Handwritten Segmentation Using Proportional Invariant Recognition Technique
Handwritten character recognition has been an on-going research in many languages for many years. Most techniques focus on isolate recognition. However, if a writer writes at fast speed, two or more characters can be written within one stroke. This input cannot be used to recognition. Previously I present the method to separate two characters connected Thai handwriting. This paper presents the method to separate connected Thai handwriting based on a modified water-reservoir and Proportional Invariant Recognition technique to separate two or more characters. The proposed technique find candidate segmentation points (include correctly segmentation points) at 92.8% and segment correctly at 87.6%.