标题：Printed Text Character Analysis Version-II: Optimized optical character recognition for noisy images with the new user training and background detection mechanism
期刊名称：International Journal of Advanced Computer Research
印刷版ISSN：2249-7277
电子版ISSN：2277-7970
出版年度：2014
卷号：4
期号：15
页码：601-610
出版社：Association of Computer Communication Education for National Triumph (ACCENT)
摘要：The proposed system performs the task of analysing snapshots of written text and creating fully customizable text files using Optical Character Recognition (OCR) technology. It is known that new font styles and writing formats are introduced everyday but the existing systems find it increasingly difficult to incorporate the newly emerging font styles. The authors have already proposed a system which gives the user complete liberty to effortlessly train the system to handle new fonts using the character dictionary and user training mechanism. The present version makes the process of character recognition more accurate and effective by introducing optimization in the recognition process, a mechanism to handle noisy text images and also a background detection mechanism to differentiate the written symbol from the image background.
关键词：User Training Mechanism; Resizing Algorithm; Character Recognition; Noise Reduction; Optimization; Background Detection.
