DocumentCode
3140409
Title
Skew detection via principal components analysis
Author
Steinherz, Tal ; Intrator, Nathan ; Rivlin, Ehud
Author_Institution
Sch. of Math. Sci., Tel Aviv Univ., Israel
fYear
1999
fDate
20-22 Sep 1999
Firstpage
153
Lastpage
156
Abstract
Skew detection via principal components is proposed as an effective method for images which contain other parts than text. It is shown that the negative of the image leads to much more robust results, and that the computation time involved is still practical
Keywords
document image processing; optical character recognition; principal component analysis; OCR; computation time; document image processing; principal component analysis; skew detection; text; Computer science; Graphics; Image coding; Nearest neighbor searches; Pixel; Principal component analysis; Robustness; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location
Bangalore
Print_ISBN
0-7695-0318-7
Type
conf
DOI
10.1109/ICDAR.1999.791747
Filename
791747
Link To Document