NDLI: Fast vector matching methods and their applications to handwriting recognition

Content Provider	IEEE Xplore Digital Library
Author	Ying-Ho Liu Chin-Chin Lin Wen-Hsiung Lin Fu Chang
Copyright Year	2005
Description	Author affiliation: Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan (Ying-Ho Liu; Chin-Chin Lin; Wen-Hsiung Lin; Fu Chang)
Abstract	A common practice in pattern recognition is to classify an unknown object by matching its feature vector with all the feature vectors stored in a database. When the number of class types and the set of stored entities are both large, it is essential to speed up the matching process. This can be achieved more effectively by eliminating unlikely candidates, rather than impossible candidates, from the process. We propose two methods for this purpose: one employs multiple trees, while the other employs a sub-vector matching technique. Both approaches use a learning procedure to estimate the optimal value of certain parameters. An online matching is then performed with a combination of the two methods, which matches candidates rapidly without sacrificing accuracy rates. The process is demonstrated by experiments in which we apply the proposed methods to handwriting recognition.
Starting Page	871
Ending Page	875
File Size	188568
Page Count	5
File Format	PDF
ISBN	0769524206
ISSN	15205263
DOI	10.1109/ICDAR.2005.112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-31
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Pattern matching Spatial databases Information science Electronic mail Pattern recognition Character recognition Face recognition Image retrieval Image databases
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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