Handprinted character recognition based on spatial topology distance measurement
Resource
IEEE Transactions on Pattern Analysis and Machine Intelligence 18 (9): 941-945
Journal
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal Volume
18
Journal Issue
9
Pages
941-945
Date Issued
1996
Date
1996
Author(s)
Liou, Cheng-Yuan
Yang, Hsin-Chang
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.
Type
journal article
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