DocumentCode
423785
Title
Mixed Chinese/English document auto-processing based on the periodicity
Author
Wang, Kai ; Jin, Jian-Ming ; Pan, Wu-Mo ; Shi, Guang-Shun ; Wang, Qing-Ren
Author_Institution
Inst. of Machine Intelligence, Nankai Univ., Tianjin, China
Volume
6
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
3616
Abstract
A novel approach based on the periodicity is presented. Opposite to previous approaches, global characteristic is employed. To verify the effectiveness of new approach, two systems are implemented. Experiment shows that error rate drops from 0.163% to 0.104% when new algorithm is employed, more than 1/3 of errors are excluded.
Keywords
document image processing; image segmentation; natural languages; optical character recognition; character segmentation; document autoprocessing; document image processing; global characteristic; language discrimination; mixed Chinese/English document; periodicity; Character recognition; Document image processing; Feature extraction; Globalization; Image segmentation; Machine intelligence; Natural languages; Optical character recognition software;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1380423
Filename
1380423
Link To Document