Title :
Text line extraction from multi-skewed handwritten documents
Author :
Jiang Yong ; Chen Xiaojing
Author_Institution :
Wenzhou Port & Shipping Manage. Bur., Wenzhou
Abstract :
A text line extraction method is presented for multi-skewed handwritten document images. First the whole document image is divided into several sub-images with overlapped area, then for every sub-image, it assumes that hypothetical water flows, from both left and right sides of the image frame, face obstruction from characters of text lines. The stripes of areas left unwetted on the sub-images are labeled for extraction of text lines. Finally, touching lines are segmented by detecting the bottom edge points. The experimental results show the approach is effective and available to extract curved text lines.
Keywords :
feature extraction; handwritten character recognition; image segmentation; optical character recognition; text analysis; OCR; multi-skewed handwritten documents; text line extraction; touching line segmentation; Computer graphics; Computer vision; Face detection; Handwriting recognition; Image edge detection; Image processing; Image segmentation; Labeling; Optical character recognition software; Text analysis; Line extraction; Multi-skewed; OCR; Touching line segmentation;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4604879