Convolutional neural network (CNN) is a common framework that has been widely applied
in many computer vision tasks. However, dealing with many real-world problems, especially …

With vast and fast development of information technology in our daily life plays an important
role Storing significant information is a big challenge for researchers Face recognition is one …

In a standard convolutional neural network the different layers are trained using the back
propagation algorithm. Following training, it can be observed that the first convolutional layer …

Human face recognition is very interesting as well as very challenging area of research. In
our study of different existing face recognition schemes, we have seen that it has very …

The Convolutional Neural Network (CNN) has been successfully applied in many fields
during recent decades; however it lacks the ability to utilize prior domain knowledge when …

Face detection is still a challenging factor in biometric research. Face detection technologies
has wide range of applications. Many advanced techniques have been introduced for …

In the field of pattern recognition and computer vision, an intriguing and a challenging
problem that is widely studied is recognition by face biometric. Face Recognition is an …

This paper proposes a method for detecting faces in a given image by combining Gabor filter
and Neural network. The first phase uses gabor filter which generates a feature set. Face …