DocumentCode
3456714
Title
Invariant Pattern Recognition Using Radial Tchebichef Moments
Author
Xiao, Bin ; Ma, Jian-Feng ; Cui, Jiang-Tao
Author_Institution
Key Lab. of Comput. Networks & Inf. Security, Xidian Univ., Xi´´an, China
fYear
2010
fDate
21-23 Oct. 2010
Firstpage
1
Lastpage
5
Abstract
Radial Tchebichef moments as a discrete orthogonal moment in the polar coordinate have been successfully used in the field of pattern recognition. However, the scaling invariant property of these moments has not been studied due to the complexity of the problem. In this paper, we present a new method to construct a complete set of scaling and rotation invariants extract from radial Tchebichef moments, named radial Tchebichef moment invariants (RCMI). Experimental results show the efficiency and the robustness to noise of the proposed method for recognition tasks.
Keywords
Zernike polynomials; feature extraction; image recognition; image reconstruction; Zernike polynomial; discrete orthogonal moment; image reconstruction; pattern recognition; polar coordinate; radial Tchebichef moment invariants; rotation invariant; Accuracy; Image recognition; Image reconstruction; Noise; Pattern recognition; Polynomials; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-7209-3
Electronic_ISBN
978-1-4244-7210-9
Type
conf
DOI
10.1109/CCPR.2010.5659179
Filename
5659179
Link To Document