The face recognition system based on the only single classifier considering the restricted information can not guarantee the generality and superiority of performances in a real s...
Wonjun Hwang, Gyu-tae Park, Jong Ha Lee, Seok-Cheo...
To detect faces in natural and unconstrained environments, we propose an approach which combines the advantages of both color and gray scale based methods. The idea consists of fi...
Abstract. Gabor wavelet-based methods have been widely used to extract representative features for face analysis. However, the existing methods usually suffer from high computation...
We present a hybrid and parallel system based on artificial neural networks for a face invariant classifier and general pattern recognition problems. A set of face features is ext...
Peter V. Bazanov, Tae-Kyun Kim, Seok-Cheol Kee, Sa...
Face recognition has established itself as an important subbranch of pattern recognition within the field of computer science. Many state-of-the-art systems have focused on the ta...