NDLI: A novel classifier for handwritten numeral recognition

Content Provider	IEEE Xplore Digital Library
Author	Ying Wen Pengfei Shi
Copyright Year	2008
Description	Author affiliation: Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., Shanghai (Ying Wen; Pengfei Shi)
Abstract	This paper presents a novel pattern classification approach- a kernel and Bhattacharyya distance based classifier which utilizes the distribution characteristics of the samples in each class. Bhattacharyya distance in the subspace spanned by the eigenvectors which are associated with the smaller eigenvalues in each class is adopted as the classification criterion. The smaller eigenvalues are substituted by a small value threshold in such a way that the classification error in a given database is minimized. Application of the proposed classifier to the issue of handwritten numeral recognition demonstrates that it is promising in practical applications.
Starting Page	1321
Ending Page	1324
File Size	195047
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4517861
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Kernel Covariance matrix Eigenvalues and eigenfunctions Principal component analysis Pattern classification Databases Gaussian distribution Character recognition Pattern recognition feature extraction character recognition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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