TY - GEN
T1 - Face recognition based on gabor features and two-dimensional PCA
AU - Lee, Yi Chun
AU - Chen, Chin Hsing
N1 - Funding Information:
The research was commissioned and supported by the Medical Practitioners Union, 50 Southwark Street, London SEI 5UN.
PY - 2008
Y1 - 2008
N2 - This paper presents a new face recognition method based on Two-Dimensional Principal Component Analysis (2DPCA) and Gabor filters. In the method, an original image is convolved with 40 Gabor filters corresponding to various orientations and scales to give its Gabor representation. Then, the Gabor representation is analyzed by the 2DPCA in which the eigenvectors are computed using the Gabor image covariance matrix without matrix to vector conversion. Experiments based on the ORL database were then performed to compare the recognition rate between the PCA, the 2DPCA, the 2DPCA+GF and the 2DPCA+MGF. We find that the recognition rate using 1-norm distance measure is better in the 2DPCA+MGF method. It achieves 98.5% recognition rate by using 25 principal components of 2DPCA using the 1-norm distance classifier.
AB - This paper presents a new face recognition method based on Two-Dimensional Principal Component Analysis (2DPCA) and Gabor filters. In the method, an original image is convolved with 40 Gabor filters corresponding to various orientations and scales to give its Gabor representation. Then, the Gabor representation is analyzed by the 2DPCA in which the eigenvectors are computed using the Gabor image covariance matrix without matrix to vector conversion. Experiments based on the ORL database were then performed to compare the recognition rate between the PCA, the 2DPCA, the 2DPCA+GF and the 2DPCA+MGF. We find that the recognition rate using 1-norm distance measure is better in the 2DPCA+MGF method. It achieves 98.5% recognition rate by using 25 principal components of 2DPCA using the 1-norm distance classifier.
UR - http://www.scopus.com/inward/record.url?scp=54049098453&partnerID=8YFLogxK
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U2 - 10.1109/IIH-MSP.2008.238
DO - 10.1109/IIH-MSP.2008.238
M3 - Conference contribution
AN - SCOPUS:54049098453
SN - 9780769532783
T3 - Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
SP - 572
EP - 576
BT - Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
T2 - 2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008
Y2 - 15 August 2008 through 17 August 2008
ER -