Title :
An approach to word image matching based on weighted Hausdorff distance
Author :
Lu, Yue ; Tan, Chew Lim ; Huang, Weihua ; Fan, Liying
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Kent Ridge, Singapore
fDate :
6/23/1905 12:00:00 AM
Abstract :
An approach to word image matching based on weighted Hausdorff distance (WHD) is proposed in this paper to facilitate the detection and location of the user-specified words in the document images. Preprocessing such as eliminating the space between adjacent characters in the word images and scale normalization is first done before the WHD is utilized to measure the distance between the template image and the word image extracted from the document image. Experimental results in the application of detecting the user-specified words from both English and Chinese document images show that it is a promising approach for word image matching
Keywords :
document image processing; image matching; optical character recognition; Chinese document images; English document images; OCR; document image processing; experimental results; optical character recognition; scale normalization; template image; user-specified words; weighted Hausdorff distance; word image matching; Character recognition; Computer science; Degradation; Humans; Image matching; Image recognition; Image segmentation; Optical character recognition software; Pixel; Printing;
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
DOI :
10.1109/ICDAR.2001.953920
