FFT algorithm of complex exponent moments and its application in image recognition

Ziliang Ping; Yongjing Jiang; Suhua Zhou; Yu Wu

doi:10.1117/12.2064619

16 April 2014 FFT algorithm of complex exponent moments and its application in image recognition

Ziliang Ping, Yongjing Jiang, Suhua Zhou, Yu Wu

Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 91591Y (2014) https://doi.org/10.1117/12.2064619
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece

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.

Citation Download Citation

Ziliang Ping, Yongjing Jiang, Suhua Zhou, and Yu Wu "FFT algorithm of complex exponent moments and its application in image recognition", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591Y (16 April 2014); https://doi.org/10.1117/12.2064619

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