Title :
Handprinted character recognition based on spatial topology distance measurement
Author :
Liou, Cheng-Yuan ; Yang, Hsin-Chang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
9/1/1996 12:00:00 AM
Abstract :
In this work we present a self-organization matching approach to accomplish the recognition of handprinted characters drawn with thick strokes. This approach is used to flex the unknown handprinted character toward matching its object characters gradually. The extracted character features used in the self-organization matching are center loci, orientation, and major axes of ellipses which fit the inked area of the patterns. Simulations provide encouraging results using the proposed method
Keywords :
optical character recognition; self-organising feature maps; topology; center loci; character features; ellipse major axes; handprinted character recognition; orientation; self-organization matching approach; spatial topology distance measurement; Character recognition; Costs; Distance measurement; Feature extraction; Network topology; Neural networks; Pattern matching; Pattern recognition; Robustness; Skeleton;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
