DocumentCode :
3482437
Title :
Skew detection in handwritten scripts
Author :
Chin, Wesley ; Harvey, A. ; Jennings, Andrew
Author_Institution :
R. Melbourne Inst. of Technol., Vic., Australia
Volume :
1
fYear :
1997
fDate :
4-4 Dec. 1997
Firstpage :
319
Abstract :
Skew detection is an important pre-processing task in an automated document image processing system. This paper reports on work done in skew detection of handwritten scripts. It has been developed as part of an off-line OCR system. We investigate existing techniques such as the Hough transform, projection histograms, method of least squares and word centroid least squares in detecting skew. These techniques consist of both global and local approaches. Using criteria measurements such as accuracy of skew detected and process times, each method is evaluated to determine the more suitable method for handwritten scripts. For each method, experimental results are obtained as well as skew corrected images.
Keywords :
Hough transforms; document image processing; edge detection; least squares approximations; optical character recognition; Hough transform; automated document image processing system; global approach; handwritten scripts; least squares; local approach; off-line OCR system; pre-processing; projection histograms; skew corrected images; skew detection; word centroid least squares; Document image processing; Equations; Histograms; Image segmentation; Least squares methods; Optical character recognition software; Speech; Systems engineering and theory; Telecommunication computing; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld., Australia
Print_ISBN :
0-7803-4365-4
Type :
conf
DOI :
10.1109/TENCON.1997.647321
Filename :
647321
Link To Document :
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