文章基本信息

标题：DEVELOPMENT OF AN ANDROID APP FOR TEXT DETECTION
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作者：MUHAMMAD AHMED ZAKI ; SAMMER ZAI ; MUHAMMAD AHSAN 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：20
页码：2485-2496
出版社：Journal of Theoretical and Applied
摘要：The field of text recognition is an important area as it finds various useful applications in computer vision such as document analysis, image search, robot navigation etc. Even though, a bunch of research has been carried out in this area but still there is a room for the improvement as none of the presented methods are error-free due to the challenges that may include the font of the characters, multi-oriented text, and the quality of pictures that contain text. Text detection is an important step towards the various content-based image retrieval techniques (CBIR). This study aim is to provide a flexible method to extract texts from challenging images and show them line-by-line by employing basic image processing techniques. The proposed system is an image processing and data retrieval system for English text. The system tends to build up an application that can recognize the English content present in an image captured by using a smart phone and then display the recognized text into editable format on the mobile screen. In order to show the effectiveness of the proposed technique extensive experiments have been performed on smart phone and the results are compared with various top-ranked commercial mobile apps.
关键词：CBIR ; OCR; Android App Development; image processing; Tesseract; Artificial Intelligence