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 :
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