Samir Malakar, B. Seraogi, R. Sarkar, N. Das, S. Basu, M. Nasipuri
{"title":"手写体孟加拉文文件图像的两阶段偏斜校正","authors":"Samir Malakar, B. Seraogi, R. Sarkar, N. Das, S. Basu, M. Nasipuri","doi":"10.1109/EAIT.2012.6407929","DOIUrl":null,"url":null,"abstract":"Skewness in the handwritten document images is a common scenario. Therefore, it is very much required to detect and correct the skewness before the document is presented to the document image analysis system. In this regard, the present work develops a two-stage Hough transform based approach to remove the skewness in the document images written in Bangla script. Firstly, page-level skewness is removed by rotating the skewed text lines appropriately and then skewed words in each text line, if any, are also rotated along a reference line.","PeriodicalId":194103,"journal":{"name":"2012 Third International Conference on Emerging Applications of Information Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Two-stage skew correction of handwritten Bangla document images\",\"authors\":\"Samir Malakar, B. Seraogi, R. Sarkar, N. Das, S. Basu, M. Nasipuri\",\"doi\":\"10.1109/EAIT.2012.6407929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Skewness in the handwritten document images is a common scenario. Therefore, it is very much required to detect and correct the skewness before the document is presented to the document image analysis system. In this regard, the present work develops a two-stage Hough transform based approach to remove the skewness in the document images written in Bangla script. Firstly, page-level skewness is removed by rotating the skewed text lines appropriately and then skewed words in each text line, if any, are also rotated along a reference line.\",\"PeriodicalId\":194103,\"journal\":{\"name\":\"2012 Third International Conference on Emerging Applications of Information Technology\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Conference on Emerging Applications of Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EAIT.2012.6407929\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Emerging Applications of Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EAIT.2012.6407929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Two-stage skew correction of handwritten Bangla document images
Skewness in the handwritten document images is a common scenario. Therefore, it is very much required to detect and correct the skewness before the document is presented to the document image analysis system. In this regard, the present work develops a two-stage Hough transform based approach to remove the skewness in the document images written in Bangla script. Firstly, page-level skewness is removed by rotating the skewed text lines appropriately and then skewed words in each text line, if any, are also rotated along a reference line.