S. Chowdhury, Soumyadeep Dhar, A. Das, B. Chanda, K. McMenemy
{"title":"Robust Extraction of Text from Camera Images","authors":"S. Chowdhury, Soumyadeep Dhar, A. Das, B. Chanda, K. McMenemy","doi":"10.1109/ICDAR.2009.188","DOIUrl":null,"url":null,"abstract":"Text within a camera grabbed image can contain a huge amount of meta data about that scene. Such meta data can be useful for identification, indexing and retrieval purposes.Detection of colored scene text is a new challenge for all camera based images.Common problems for text extraction from camera based images are the lack of prior knowledge of any kind of text features such as color, font, size and orientation.In this paper we propose a new algorithm for the extraction of text from an image which can overcome these problems. In addition, problems due to an unconstrained complex background in the scene has also been addressed.Here a new technique is applied to determine the discrete edges around the text boundaries. A novel methodology is also proposed to extract the text exploiting its appearance in terms of color and spatial distribution.","PeriodicalId":433762,"journal":{"name":"2009 10th International Conference on Document Analysis and Recognition","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 10th International Conference on Document Analysis and Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2009.188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Text within a camera grabbed image can contain a huge amount of meta data about that scene. Such meta data can be useful for identification, indexing and retrieval purposes.Detection of colored scene text is a new challenge for all camera based images.Common problems for text extraction from camera based images are the lack of prior knowledge of any kind of text features such as color, font, size and orientation.In this paper we propose a new algorithm for the extraction of text from an image which can overcome these problems. In addition, problems due to an unconstrained complex background in the scene has also been addressed.Here a new technique is applied to determine the discrete edges around the text boundaries. A novel methodology is also proposed to extract the text exploiting its appearance in terms of color and spatial distribution.