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, whic...

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Bibliographic Details
Main Authors: Lemaitre, Aurelie, Chaudhuri, Bidyut Baran, Couasnon, Bertand
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Data mining
Filtering
Handwriting recognition
Image resolution
Image segmentation
Kalman filters
Shape
Text recognition
Writing
Online Access:Request full text
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Summary: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.
ISSN:1520-5363
2379-2140
DOI:10.1109/ICDAR.2007.4376988