Screen Processing: Detection and Segmentation of Antialiased Text

Screen shot images is of interest for various applications. Handling of these images poses several new challenges compared to images traditionally handled by optical character recognition (OCR). One such challenge is caused by text antialiasing, where the character images are blurred by a low pass filter thus changing their appearance according to context, and fuzing character images together. In this work we offer simple low cost procedures to locate antialiased text in a screen image and to segment the text into separate character images, as a preprocessing stage to OCR. An emphasis is given to the low cost of the algorithms, enabling us to handle large images in real time.

By: Boaz Ophir; Amir Geva; Ella Barkan; Mattias Marder

Published in: H-0275 in 2010


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