@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 = "R. Kasturi and D. Laurendeau and C. Suen and N. Ayache and K. Boyer and H. Bunke and H. Christensen and M. Kunt and \{di Baja\}, \{G. Sanniti\} and L. Shapiro and Y. Shirai and R. Woodham",
booktitle = "Proceedings - 16th International Conference on Pattern Recognition, ICPR 2002",
address = "美国",
}