A fast skew detection and correction algorithm for machine printed words in Gurmukhi script
Proceedings of the International Workshop on Multilingual OCR
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In this paper, we propose to give tools for Bangla hand- writing recognition. We present a mechanism to segment documents into text lines and words, and more specifically to detect headline position in each word. Indeed, this head- line is an horizontal line on the upper part of most of char- acters, which is characteristic of Bangla writing. Its locali- sation is a new approach that can improve text recognition quality. This headline is detected into words inside text lines thanks to a notion of perceptive vision: at a certain dis- tance, text lines appear as line-segments that give the global orientation of words. Watching closer may help to give the exact position of the headline. Consequently, this work is mainly based on applying a segment extractor at different image resolutions and combining extracted information in order to compute the headlines. Our line-segment extractor is based on Kalman filtering.