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Author Dhawan, Sanjeev ♦ Dogra, Himanshu
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Face Recognition ♦ Feature Extraction Technique ♦ Feature Extraction ♦ Illumination Variation ♦ Geometry-based Feature Extraction ♦ Attempted Problem ♦ Face Expression Variation Noise ♦ Facial Feature Extraction ♦ Different Facial Feature Extraction Technique ♦ Computer Vision ♦ Non-intrusive Method ♦ Diverse Performance ♦ Various Factor ♦ Color Segmentation
Abstract Abstract: Face Recognition is non-intrusive method of identifying individual faces by the feature extraction and classification of faces. Facial feature extraction is one of the most important and attempted problems in computer vision. This paper compares the different facial feature extraction techniques like geometry-based feature extraction (Gabor wavelet transform), appearance based techniques, color segmentation based techniques and template based feature extraction. These techniques provide diverse performance with various factors such as illumination variation, face expression variation noise and orientation.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article