NDLI: Experimental results on improved handwritten word recognition using the Levenshtein metric

Content Provider	IEEE Xplore Digital Library
Author	Gentric, P.
Copyright Year	1995
Description	Author affiliation: Lab. d'Electron., Philips Res. Lab., Limeil-Brevannes, France (Gentric, P.)
Abstract	Using a Levenshtein-like distance for dynamic handwriting recognition of discrete words, i.e. characters should not overlap, we demonstrate that the word recognition rate can be greatly improved by enhancing the nature of the information provided by the character recognition classifier to the lexical processor. A Radial Basis Function (RBF) classifier is used to provide accurate substitution costs to a Levenshtein metric lexical search scheme. We report experimental results that demonstrate a clear advantage of this method over the traditional use of the classifier confusion matrix for substitution cost estimation. We conjecture that this is probably related to the highly multi-modal and ambiguous nature of the handwritten character classification problem.
Starting Page	364
Ending Page	367
File Size	411887
Page Count	4
File Format	PDF
ISBN	0818671289
DOI	10.1109/ICDAR.1995.599014
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-08-14
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Character recognition Matrices Cost function Decision theory Signal processing Error analysis Buildings Contracts Writing
Content Type	Text
Resource Type	Article

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Experimental results on improved handwritten word recognition using the Levenshtein metric