DocumentCode
3061136
Title
A comparison of methods of extracting curvature features
Author
Legault, R. ; Suen, C.Y.
Author_Institution
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
134
Lastpage
138
Abstract
Examines the extraction of curvature features from the contours of 2D objects. General schemes for corner detection and particular methods from the recent OCR literature are considered. Eight approaches are compared with respect to their results on a set of 100 handwritten numerals of varying styles and sizes. Strengths and weaknesses are summarized for each method
Keywords
character recognition; edge detection; feature extraction; 2D object contours; OCR; character recognition; corner detection; curvature features extraction; Character recognition; Feature extraction; Handwriting recognition; Humans; Labeling; Length measurement; Machine intelligence; Optical character recognition software; Pattern recognition; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2920-7
Type
conf
DOI
10.1109/ICPR.1992.201945
Filename
201945
Link To Document