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
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;
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
DOI :
10.1109/CCPR.2010.5659179
