DocumentCode
2525464
Title
Script Identification of Document Image Analysis
Author
Cheng, Uan ; Ping, Xijian ; Zhou, Guanwei ; Yang, Yang
Author_Institution
Zhengzhou Inf. Sci. & Technol. Inst.
Volume
3
fYear
2006
fDate
Aug. 30 2006-Sept. 1 2006
Firstpage
178
Lastpage
181
Abstract
Script identification prior to OCR is necessary in document image analysis. And each script has unique spatial distribution and visual attribute that make it possible to identify itself from other languages. The key technology of script identification algorithm is to abstract effective measure feature. By analyzing vision differences based on normalized histogram statistic, Chinese, Japanese, English and Russian are identified respectively from others. Therefore, automatic identification of four scripts is realized successfully
Keywords
document image processing; optical character recognition; OCR; document image analysis; normalized histogram statistic; optical character recognition; script identification algorithm; vision difference analysis; Histograms; Image analysis; Image segmentation; Information science; Natural languages; Optical character recognition software; Shape; Statistical analysis; Statistical distributions; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location
Beijing
Print_ISBN
0-7695-2616-0
Type
conf
DOI
10.1109/ICICIC.2006.518
Filename
1692145
Link To Document