Title :
Identification of fork points on the skeletons of handwritten Chinese characters
Author :
Liu, Ke ; Huang, Yea S. ; Suen, Ching Y.
Author_Institution :
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
fDate :
10/1/1999 12:00:00 AM
Abstract :
This paper describes techniques for stroke extraction used in the recognition of handwritten Chinese characters. A new set of feature points is proposed for the analysis of skeleton images. Based on a geometrical graph, a novel criterion is proposed for the identification of fork points in a skeleton image which correspond to joint points in the original character image. Experimental results indicate that the proposed method correctly determines the fork points, and is effective in unifying the joint points
Keywords :
feature extraction; handwritten character recognition; feature points; fork point identification; geometrical graph; handwritten Chinese character recognition; handwritten Chinese character skeletons; joint points; skeleton image; stroke extraction; Character recognition; Handwriting recognition; Image analysis; Image segmentation; Joints; Optical character recognition software; Optical distortion; Performance analysis; Shape; Skeleton;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on