FACIAL FEATURE EXTRACTION TECHNIQUES FOR FACE RECOGNITION
نویسندگان
چکیده
منابع مشابه
Facial Feature Extraction Techniques for Face Recognition
Face recognition is one of the biometric techniques used for identification of humans. The design of the face recognition system includes two basic steps. The first step is the extraction of the image’s features and the second one is the classification of patterns. Feature extracting is a very important step in face recognition. The recognition rate of the system depends on the meaningful data ...
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Facial feature extraction consists in localizing the most characteristic face components (eyes, nose, mouth, etc.) within images that depict human faces. This step is essential for the initialization of many face processing techniques like face tracking, facial expression recognition or face recognition. Among these, face recognition is a lively research area where it has been made a great effo...
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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...
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This Paper proposes a new facial feature extraction approach, Wash-Hadamard Transform (WHT). This approach is based on correlation between local pixels of the face image. Its primary advantage is the simplicity of its computation. The paper compares the proposed approach, WHT, which was traditionally used in data compression with two other known approaches: the Principal Component Analysis (PCA...
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Facial feature extraction is important in many face-related applications, such as face alignment for recognition. We propose a multimodal scheme to integrate 3D (range) and 2D (intensity) information provided from a facial scan to extract the feature points. Given a face scan, the foreground is segmented from the background using the range map and the face area is detected using a real-time int...
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ژورنال
عنوان ژورنال: Journal of Computer Science
سال: 2014
ISSN: 1549-3636
DOI: 10.3844/jcssp.2014.2360.2365