Sciweavers

Share
ICDAR
2007
IEEE

Perceptive Vision for Headline Localisation in Bangla Handwritten Text Recognition

12 years 5 months ago
Perceptive Vision for Headline Localisation in Bangla Handwritten Text Recognition
In this paper, we propose to give tools for Bangla handwriting 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 headline is an horizontal line on the upper part of most of characters, which is characteristic of Bangla writing. Its localisation 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 distance, 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.
Aurélie Lemaitre, B. B. Chaudhuri, Bertrand
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ICDAR
Authors Aurélie Lemaitre, B. B. Chaudhuri, Bertrand Coüasnon
Comments (0)
books