FACE DETECTION BY GABOR TRANSFORM

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NOROUZI M.R.; VAFADOUST M.

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Journal Paper

Paper Information

Journal: AMIRKABIR Year:2008 | Volume:18 | Issue:67-A (TOPICS IN: GROUPS OF ENGINEERING, ELECTRONIC, BIOMEDICAL, COMPUTER) Page(s): 83-92

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Information Journal Paper

Title

FACE DETECTION BY GABOR TRANSFORM

Author(s)

NOROUZI M.R. | VAFADOUST M. | Issue Writer Certificate

Keywords

FACE DETECTION

GABOR WAVELET

GABOR TRANSFORM

HAMMING DISTANCE

Abstract

A single reference image is used for detecting the face area in gray scale images. The algorithm uses GABOR TRANSFORM as a powerful tool for feature extraction. Zero-crossing of GABOR TRANSFORM is used for constructing the binary feature vectors and HAMMING DISTANCE is used for measuring the similarity between feature vectors. Our developed method uses a pyramidal structure for finding the face images with different sizes. The algorithm has considerable robustness to the cluttered backgrounds and non-uniform illumination. More than 11,000 face images have been tested. The results show a very high detection rate for non occluded face images with low facial expression. The algorithm can also be used for correcting the head rotation angle in input images. The algorithm can also be used for correcting the head rotation angle in input images. The proposed method is suitable for the cases that contain one face image.

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APA: Copy

NOROUZI, M.R., & VAFADOUST, M.. (2008). FACE DETECTION BY GABOR TRANSFORM. AMIRKABIR, 18(67-A (TOPICS IN: GROUPS OF ENGINEERING, ELECTRONIC, BIOMEDICAL, COMPUTER)), 83-92. SID. https://sid.ir/paper/545216/en

Vancouver: Copy

NOROUZI M.R., VAFADOUST M.. FACE DETECTION BY GABOR TRANSFORM. AMIRKABIR[Internet]. 2008;18(67-A (TOPICS IN: GROUPS OF ENGINEERING, ELECTRONIC, BIOMEDICAL, COMPUTER)):83-92. Available from: https://sid.ir/paper/545216/en

IEEE: Copy

M.R. NOROUZI, and M. VAFADOUST, “FACE DETECTION BY GABOR TRANSFORM,” AMIRKABIR, vol. 18, no. 67-A (TOPICS IN: GROUPS OF ENGINEERING, ELECTRONIC, BIOMEDICAL, COMPUTER), pp. 83–92, 2008, [Online]. Available: https://sid.ir/paper/545216/en

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