Recognition of handwritten Chinese characters by modified Houghtransform techniques
Cheng, F.-H.
Hsu, W.-H.
Chen, M.-Y.
Inst. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Apr 1989
Volume: 11,
Issue: 4
On page(s): 429-439
ISSN: 0162-8828
References Cited: 28
CODEN: ITPIDJ
INSPEC Accession Number: 3401995
Digital Object Identifier: 10.1109/34.19042
Current Version Published: 2002-08-06
Abstract
Chinese characters are mapped from the spatial domain into the
parametric one for stroke extraction, and the dynamic programming
matching (DP matching) algorithm is applied to recognize Chinese
characters. This method overcomes not only the problem of noise
sensitivity in the local feature approach, but also the problem of being
time consuming in the global feature approach. Results are presented for
two experiments conducted for a database called ETL8, which contains 881
Chinese characters and 160 variations for each one, to prove the
usefulness of the MHT and DP matching methods. An actual recognition
rate of 94.5% was obtained for 351 Chinese characters in the ETL8
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