Paper
1 November 1991 Human face recognition by P-type Fourier descriptor
Tsunehiro Aibara, Kenji Ohue, Yasushi Matsuoka
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Abstract
This paper presents a method of recognizing human face profile. The conventional methods of recognizing human face profile use the computer-derived fiducial marks, lines, angles, and other measures of profile outline as the components of characteristic vector. We use P-type Fourier descriptor as a characteristic vector of human face profile. It is shown that four P-type Fourier coefficients in the low frequency range can identify 65 face profiles, with the accuracy of 100%.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tsunehiro Aibara, Kenji Ohue, and Yasushi Matsuoka "Human face recognition by P-type Fourier descriptor", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50385
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Facial recognition systems

Image processing

Visual communications

Photography

Computer simulations

Image segmentation

Spatial frequencies

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