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Author Sakata, T. ♦ Nishii, R. ♦ Tan Siang Chin ♦ Sawae, R.
Sponsorship Hitachi, Japan ♦ IBM, USA ♦ Fujitsu Lab., Japan ♦ NEC, Japan ♦ Toshiba, Japan ♦ Microsoft, USA ♦ Int. Assoc. for Pattern Recognition
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2004
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Algebra ♦ Electronics packaging ♦ Equations ♦ Conferences ♦ Handwriting recognition ♦ Polynomials
Abstract In automatic word recognition, location-scale-rotation invariant features are important. We consider the rotation invariant moments of 2-D imagery. Two new series of invariant moments are derived by Lie theory of the orthogonal transformation group. The infinite series are expressed in terms of regular moments.
Description Author affiliation: Kyushu Univ., Japan (Sakata, T.; Nishii, R.; Tan Siang Chin)
ISBN 0769521878
ISSN 15505235
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2004-10-26
Publisher Place Japan
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 169.65 kB
Page Count 5
Starting Page 377
Ending Page 381


Source: IEEE Xplore Digital Library