In the modern era, the technological innovations have reached to the next level. In the surrounding life, the new feature of the biometric recognitions is very famous. The biometric recognition techniques can be now found in the telephones and laptops. One of the most significant biometric recognition techniques is face recognition. This paper will focus on the face recognition technology and the use of deep learning and neural network. This paper will discuss that how face recognition is different with face detection.
Face recognition can be considered as the technique that is used for recognizing the face images through computer. The face recognition technique is successful in extracting the recognition information from the face images. Most of the times, the face recognition was associated with the biological features and this feature vector was used to distinguish the faces. Face recognition from the real data is a very challenging task due to capture, sensor and database images. This is the problem because there are wide variations in the face appearances, complexities of the back ground of the images and illumination effect.
However, face recognition is considered as one of the most effective and appropriate applications that have been produced by image processing and biometric systems. In this paper, it will discuss the face recognition methods with the help of wide array of literature. The paper will further discuss the case study of Google, as Google has done significant and important work in the field of face recognition.