To deal with the issue of human face recognition on small original dataset, a new approach
combining convolutional neural network (CNN) with augmented dataset is developed in this …

Today, with the rapid development of science and technology, the era of big data has been
proposed and triggered reforms in all walks of life. Face recognition is a biometric …

With the development of computer vision and artificial intelligence, face recognition is widely
used in daily life. As one of the most concerned methods of biometric recognition, face …

Abstract Background and Objective Face recognition success rate is influenced by
illumination, expression, posture change, and other factors, which is due to the low …

Proposing a proper method for face recognition is still a challenging subject in biometric and
computer vision applications. Although some reliable systems were introduced under …

Face recognition can be used in several applications such as in surveillance, identification
in login system and personalized technology. Recognizing multiple face in realtime on the …

With the continuous progress of The Times and the development of technology, the rise of
network social media has also brought the" explosive" growth of image data. As one of the …

In this paper, a face recognition method based on Convolution Neural Network (CNN) is
presented. This network consists of three convolution layers, two pooling layers, two full …

Face recognition is an important embodiment of human-computer interaction, which has
been widely used in access control system, monitoring system and identity verification …

The face almost always has an axis-symmetrical structure. However, as the face usually
does not have an absolutely frontal pose when it is imaged, the majority of face images are …