DocumentCode :
3429486
Title :
Italic font recognition using stroke pattern analysis on wavelet decomposed word images
Author :
Zhang, Li ; Lu, Yue ; Tan, Chew Lim
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Kent Ridge, Singapore
Volume :
4
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
835
Abstract :
This work describes an italic font recognition method using stroke pattern analysis on wavelet decomposed word images. The word images are extracted from scanned text documents containing word objects in various fonts and styles. Earlier font recognition methods mainly focus on slanted texture or pattern analysis on single character or large text blocks, which are sensitive to noise and subject to font and style variations such as size, serifness, boldness, etc. Our method takes advantage of 2-D wavelet decomposition on each word image and performs statistical analysis on stroke patterns obtained from wavelet decomposed sub-images. Experiments are carried out with 22,384 frequently used word images in both normal and italic styles of four different fonts. On average, a recognition accuracy of 95.76% for normal style and 96.49% for italic style is achieved. Experiments conducted on word images extracted from scanned documents with scattered italic words also show an encouraging result.
Keywords :
character recognition; character sets; statistical analysis; wavelet transforms; 2D wavelet decomposition; italic font recognition; statistical analysis; stroke pattern analysis; wavelet decomposed word image; Data mining; Image recognition; Image retrieval; Information retrieval; Optical character recognition software; Pattern analysis; Pattern recognition; Scattering; Text recognition; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1333902
Filename :
1333902
Link To Document :
بازگشت