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

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

921

Lastpage

925

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on

Conference_Location

Seattle, WA

Print_ISBN

0-7695-1263-1

Type

conf

DOI

10.1109/ICDAR.2001.953920

Filename

953920