NDLI: Computer algorithms for recognizing the distinct parts of handprinted characters

Content Provider	IEEE Xplore Digital Library
Author	Li, Z.C. Suen, C.Y. Guo, J.
Copyright Year	1991
Description	Author affiliation: Centre de Recherche Informatique de Montreal Inc., Que., Canada (Li, Z.C.; Suen, C.Y.; Guo, J.)
Abstract	The authors studied several computer algorithms by evaluating the recognition rates on distinct parts of handprinted characters. A regional decomposition method is to facilitate pattern analysis and recognition, by which a complicated pattern can be split into simpler parts or subpatterns. A hierarchy model is also proposed to identify the attributes in different hierarchic levels of patterns so that the recognition rates of the different parts can be calculated by a simplified, uniform, computational scheme. The computed results coincide with those of subjective experiments, but they are more precise and complete. The total mean score of recognition rates of parts obtained from the proposed algorithms was 30% higher than that from human experiments.
Starting Page	197
Ending Page	200
File Size	186042
Page Count	4
File Format	PDF
ISBN	0780302338
DOI	10.1109/ICSMC.1991.169684
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-10-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character recognition Pattern recognition Pattern analysis Handwriting recognition Machine intelligence Humans Councils Pattern classification Expert systems
Content Type	Text
Resource Type	Article

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