NDLI: Handwritten character recognition using elastic matching based on a class-dependent deformation model

Content Provider	IEEE Xplore Digital Library
Author	Uchida, S. Sakoe, H.
Copyright Year	2003
Description	Author affiliation: Fac. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan (Uchida, S.; Sakoe, H.)
Abstract	For handwritten character recognition, a new elastic image matching (EM) technique based on a class-dependent deformation model is proposed. In the deformation model, any deformation of a class is described by a linear combination of eigen-deformations, which are intrinsic deformation directions of the class. The eigen-deformations can be estimated statistically from the actual deformations of handwritten characters. Experimental results show that the proposed technique can attain higher recognition rates than conventional EM techniques based on class-independent deformation models. The results also show the superiority of the proposed technique over those conventional EM techniques in computational efficiency.
Sponsorship	TC10 (Graphics Recognition) and TC11 (Reading Syst.) of the Int. Assoc. Pattern Recognition (IAPR)
Starting Page	163
Ending Page	167
File Size	268386
Page Count	5
File Format	PDF
ISBN	0769519601
DOI	10.1109/ICDAR.2003.1227652
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-08-06
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character recognition Deformable models Image matching Information science Computational efficiency Pattern recognition Automatic control Prototypes Text analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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