Face Recognition using LBP and LVQ Classifier

From the past decades, Face recognition is a challenging problem in the area of computer vision, pattern recognition and image analysis. It is a biometric technique used to identify and verify the human face. Face has many different characteristic due to which face of one person very form other. The variation in the human face mostly include lightning change effect, pose variation, facial expression variation, direction at different situation. Each human face has different features, through which each human is identified individually. Researchers have proposed various mechanisms for face detection and recognition. This paper presents a face recognition method, using a Local Binary Pattern, which is a static approach for feature extraction and Combined Learning Vector Quantization Classifier approach is used for face classification. The localization of face component and segmentation are applied using the Hough Circular Transform. The proposed recognition mechanism is robust to handle inputs from varying sources, and to detect and recognize