{"title":"A Decade on Script Identification from Natural Images/Videos: A Review","authors":"Shilpa Mahajan, Rajneesh Rani","doi":"10.1109/ICICT46931.2019.8977630","DOIUrl":null,"url":null,"abstract":"Text present in an image provides high level straight forward information about the image/ video in which it is present. Nowadays, analysis of script identification either in the natural image or document image facilitates benefits to the number of important applications. Automatic script identification is a highly challenging task due to various complexities of the text as well as the image. This paper presents a survey on script identification of different scripts across the world. From the survey, it is noted that research in this area is limited to the document images only. Natural images are yet to be explored for automatic script identification.","PeriodicalId":412668,"journal":{"name":"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","volume":"11 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT46931.2019.8977630","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Text present in an image provides high level straight forward information about the image/ video in which it is present. Nowadays, analysis of script identification either in the natural image or document image facilitates benefits to the number of important applications. Automatic script identification is a highly challenging task due to various complexities of the text as well as the image. This paper presents a survey on script identification of different scripts across the world. From the survey, it is noted that research in this area is limited to the document images only. Natural images are yet to be explored for automatic script identification.
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