A Convolutional Neural Network based on TensorFlow for Face Recognition

Face recognition is a hot research field in computer vision, and it has a high practical value for the detection and recognition of specific sensitive characters. Research found that in traditional hand-crafted features, there are uncontrolled environments such as pose, facial expression, illumination and occlusion influencing the accuracy of recognition and it has poor performance, so the deep learning method is adopted. On the basis of face detection, a Convolutional Neural Network (CNN) based on TensorFlow, an open source deep learning framework, is proposed for face recognition. Experimental results show that the proposed method has better recognition accuracy and higher robustness in complex environment.