Design of an Efficient Face Recognition system using Deep Learning Technique

Greater reliance on smart and portable electronic devices demands engineers to provide solutions with better performance minimized demerits. Face Recognition involves the method of associating confirming faces. It is fit for distinguishing, following, recognizing, or checking human appearances from a picture video caught utilizing an advanced camera. Feature extraction most significant stage achievement face recognition framework. The different ways implementing this project depends programming language algorithms used such as MATLAB, OpenCV, visual basics C#, Viola-Jones algorithm many more while core functioning remains same. In work, we have implemented in 3 phases, Phase1 consists detecting faces collecting images IDs, Phase 2 training Recognizer Separating interesting elements final phase includes grouping them putting away XML records.