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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201945
