Hybrid Feature Extraction Method for Partial Face Recognition

Face Recognition is one of the challenging tasks faced till date in the field of computer vision and pattern recognition. A robust face recognition system is essential for proper and accurate face recognition. Facial feature extraction is an important stage of face recognition process as it includes the important information required for face recognition. A good feature extraction algorithm helps in extraction of relevant information helpful in accurate face recognition. This paper discusses the SIFT (Scale Invariant Feature Transform) algorithm which is one of the successful algorithms for local feature extraction and 2DPCA (Two Dimensional Principal Component Analysis) which is an improved version of PCA (Principal Component Analysis), PCA being a holistic in nature .Here we propose the use of SIFT and 2DPCA for facial feature extraction method. Keywords— Facial feature extraction, partial face images, SIFT, 2DPCA