@inproceedings{1d82710fc3cb474ab8b00703372b80ac,
title = "Word spotting in Chinese document images without layout analysis",
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 disiance(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.",
author = "Yue Lu and Tan, \{Chew Lim\}",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 16th International Conference on Pattern Recognition, ICPR 2002 ; Conference date: 11-08-2002 Through 15-08-2002",
year = "2002",
doi = "10.1109/ICPR.2002.1047794",
language = "英语",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "57--60",
editor = "\{di Baja\}, \{G. Sanniti\} and Y. Shirai and M. Kunt and D. Laurendeau and R. Woodham and K. Boyer and L. Shapiro and R. Kasturi and C. Suen and N. Ayache and H. Bunke and H. Christensen",
booktitle = "Proceedings - 16th International Conference on Pattern Recognition, ICPR 2002",
address = "美国",
}