NDLI: Dynamically expanding context as committee adaptation method in on-line recognition of handwritten Latin characters

Content Provider	IEEE Xplore Digital Library
Author	Laaksonen, J. Aksela, M. Oja, E. Kangas, J.
Copyright Year	1999
Description	Author affiliation: Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Espoo, Finland (Laaksonen, J.)
Abstract	We have developed an adaptive handwriting recognizer for isolated Latin characters in which the adaptive behavior is based on the dynamically expanding context (DEC) algorithm. In our current system, the outputs of a set of static classifiers are combined in a committee machine, whose rules are adapted. Every misclassified character gives rise to adding a new DEC rule to the rule set of the committee. When the existing rules fail to produce a correct recognition output, more and more context information is utilized in forming the new DEC rules. Not only the first-ranking outputs from the member classifiers but also the second-ranking ones can be taken into account when forming the DEC rules. In the experiments described in this paper, various options in the implementation of the DEC committee classifier are evaluated. The results of the experiments show that the system is capable of fast adaptation to the user's handwriting and lead to lowered recognition error rates.
Starting Page	796
Ending Page	799
File Size	51350
Page Count	4
File Format	PDF
ISBN	0769503187
DOI	10.1109/ICDAR.1999.791908
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Character recognition Error analysis Writing Laboratories Information science Read only memory Voting
Content Type	Text
Resource Type	Article

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