NDLI: Improving the recognition by integrating the combination of descriptors

Content Provider	Springer Nature Link
Author	Salmon, J. P. Wendling, L. Tabbone, S.
Copyright Year	2006
Abstract	A new method for combining shape descriptors based on a behavior study from a learning set is proposed in this paper. Each descriptor is applied on several clusters of objects or symbols. For each cluster and for any descriptor a pertinent map is directly carried out from the learning database. Then existing conflicts are assessed and integrated in such a map. At last, we show that the use of combination of descriptors enables to improve the recognition using real data.
Starting Page	3
Ending Page	12
Page Count	10
File Format	PDF
ISSN	14332833
Journal	International Journal of Document Analysis and Recognition (IJDAR)
Volume Number	9
Issue Number	1
e-ISSN	14332825
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-11-14
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Shape descriptors Additive combination Recognition of dropped initials Pattern Recognition Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Computer Vision and Pattern Recognition Software

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Improving the recognition by integrating the combination of descriptors