Please use this identifier to cite or link to this item:
Title: Word spotting in Chinese document images without layout analysis
Authors: Yue, L. 
Chew, L.T. 
Issue Date: 2002
Citation: Yue, L.,Chew, L.T. (2002). Word spotting in Chinese document images without layout analysis. Proceedings - International Conference on Pattern Recognition 16 (3) : 57-60. ScholarBank@NUS Repository.
Abstract: An approach to searching user-specified words/phrases in Chinese document images, without the requirements of layout analysis, is proposed in this paper. Bounding boxes of Chinese character images are first determined using connected component analysis. Next, a suitable character from the user-specified word/phrase is chosen as the initial character to search for a matching candidate in the document. Once a matched candidate is found, its adjacent characters in the horizontal and vertical directions are examined for matching with other corresponding characters in the user-specified word/phrase, subject to the constraints of positional relation and size similarity The character matching is done in two stages. The coarse matching is carried out based on the stroke density features. A weighted Hausdorff distance(WHD) is proposed for the second matching phase. Experimental results show that the proposed method can effectively search the user-specified Chinese word/phrase from horizontal or vertical text lines of document images. © 2002 IEEE.
Source Title: Proceedings - International Conference on Pattern Recognition
ISSN: 10514651
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Dec 8, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.