Printed Text Character Analysis Version-I: Optical Character Recognition with the new User Training Mechanism
نویسندگان
چکیده
The present system aspires to analyse snapshots of written text and create fully customizable text files using Optical Character Recognition (OCR) technology. It is well known that the discrepancies in typed optical language have led to the advent of new technology for assessing the written text. Many font sizes and styles are introduced everyday calling for frequent updates in recognition technology and associated systems. There are existent systems for character recognition but they are limited in their scope because of their inability to recognize the latest writing styles, however the present system gives the user complete liberty to effortlessly train the system to handle new fonts using the character dictionary and user training mechanism.
منابع مشابه
Printed Text Character Analysis Version-II: Optimized optical character recognition for noisy images with the new user training and background detection mechanism
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 ...
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