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

被引：7
|
作者：
Ping, Ziliang [1 ]
Jiang, Yongjing [1 ]
Zhou, Suhua [2 ]
Wu, Yu [2 ]
机构：
[1] Inner Mongolia Normal Univ, Phys & Elect Coll, Hohhot 010022, Peoples R China
[2] Beijing Univ Posts & Telecommun, Century Coll, Beijing, Peoples R China
来源：
6TH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2014) | 2014年 / 9159卷
基金：
中国国家自然科学基金;
关键词：
Complex Exponent Moments; FFT algorithm; Multi-distorted invariance; Pattern recognition; ZERNIKE;
D O I：
10.1117/12.2064619
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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收藏
页数：11
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