{"title":"Automated Scene Text Detection Systems: An Imminent Progress","authors":"Simarjit Singh, Sukhpreet Kaur, Sachin Bhardwaj","doi":"10.1109/AISC56616.2023.10084958","DOIUrl":null,"url":null,"abstract":"In this techno-savvy world, digitalization has become a part of our daily lives and has various applications in every field of work. For example, an automatic scene text detection system utilizes a video camera to capture the frames and then detect and recognize the text on the frames to help in different applications like navigation for blind people, sign detection, text retrieval, etc. So, it is essential to understand the current state of the work done in this field. Therefore, in this paper, with the same objective, the theoretical analysis includes the details of the present benchmark datasets, existing systems, and approaches. Moreover, the current methods' shortcomings are also discussed in this paper, along with the future requirement which will help the researchers to target their objectives.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AISC56616.2023.10084958","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this techno-savvy world, digitalization has become a part of our daily lives and has various applications in every field of work. For example, an automatic scene text detection system utilizes a video camera to capture the frames and then detect and recognize the text on the frames to help in different applications like navigation for blind people, sign detection, text retrieval, etc. So, it is essential to understand the current state of the work done in this field. Therefore, in this paper, with the same objective, the theoretical analysis includes the details of the present benchmark datasets, existing systems, and approaches. Moreover, the current methods' shortcomings are also discussed in this paper, along with the future requirement which will help the researchers to target their objectives.