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Proceedings Paper

FFT algorithm of complex exponent moments and its application in image recognition
Author(s): Ziliang Ping; Yongjing Jiang; Suhua Zhou; Yu Wu
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Paper Abstract

Orthogonal multi-distorted invariant Complex Exponent Moments (CEMs) are proposed. A fast and accurate 2-D Fast Fourier Transform (FFT) algorithm is used to calculate CEMs. Theoretical analysis is presented to demonstrate the multi-distorted invariant property of CEMs. The proposed method is applied in the pattern recognition of human faces, English letters and Chinese characters. Experimental results show that CEMs have higher quality and lower computational complexity than RHFMs in image reconstruction and pattern recognition.

Paper Details

Date Published: 16 April 2014
PDF: 11 pages
Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591Y (16 April 2014); doi: 10.1117/12.2064619
Show Author Affiliations
Ziliang Ping, Inner Mongolia Normal Univ. (China)
Beijing Univ. of Posts and Telecommunication (China)
Yongjing Jiang, Inner Mongolia Normal Univ. (China)
Suhua Zhou, Beijing Univ. of Posts and Telecommunications (China)
Yu Wu, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 9159:
Sixth International Conference on Digital Image Processing (ICDIP 2014)
Charles M. Falco; Chin-Chen Chang; Xudong Jiang, Editor(s)

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