[PDF] Top 20 Review of Face Recognition Systems Using Different Artificial Neural Network Algorithms

... of face recognition is based on DCT (Discrete Cosine Transform) and neural ...two different neural networks are ...propagation neural network is used in an „network ... See full document

... networks, Neural Network toolbox of MATLABR2015a was ...by using mean square error as the ...gradient algorithms are moderately ...done using BPNN and the result is shown followed by ... See full document

... of face-recognition systems is achieved at a high level when these systems are robust to noise, corrup- tions, and variations in face images ...make face recog- nition ... See full document

... (Artificial Neural Networks and Gene ...Propagation Neural Networks, they had used Gene ...great recognition speed therefore it is used for image ...used neural network ... See full document

... to Neural Network (NN) based ...hybrid neural network approach that combines local image sampling, A self organizing map (SOM) and a convolutional neural network ...based ... See full document

... The face is the primary focus of attention and plays a major role in identification and establishing the uniqueness of a particular person from the rest of the human ...one face from ...a face plays ... See full document

... Non Face detection is a technology with a hefty range of applications such as access banking, information security, human computer communication, fundamental reality, and database recovery ...of face ... See full document

... well-known artificial neural ...SOM network identifies a winning neuron using the same procedure as employed by a competitive ...updated using the Kohonen ... See full document

... for Face Detection and Recognition by Neural Network for Face Recognition using different ...human Face recognition being regarded as a fundamental ... See full document

... and recognition is the main aspect for different important areas such as video surveillance, biometrics, interactive game applications, human computer interaction and access control ...These systems ... See full document

... an artificial neural network model. This network model is composed of an input layer, an output layer and several hidden ...the different layers of the network: a forward pass ... See full document

... Face recognition is an easily studied problem because many algorithm of the face recognition are proposed [11] earlier, many of the algorithms are focus on the comparison of still ... See full document

... facial recognition system was created by Woody Bledsoe, Helen Chan Wolf, and Charles Bisson which using computer to recognize human ...“This recognition problem is made difficult by the great ... See full document

... Invariant Face Recognition Module for Intelligent Robot ...vertical-rotated face to the nearly frontal ...both face recognition rate and recognition confidence, and was better ... See full document

... known face - inform the user what are the possibilities and probabilities for correct ...of face images is rather small, and that makes calculations ...introduced neural networks which are used for ... See full document

... This paper highlights the fact that how an android app will make it possible for every common man to ease the tedious process of scanning and converting the images into soft copy just on a click even while working ... See full document

... The Face Recognition can be used in many places like Air ports, Military bases, Government offices, also use for daily attendance purpose in the multinational companies ...[3]. Face ... See full document

... layer network: 1) the input layer of size equal to the input vector size ; 2) the output layer of size ; and 3) one hidden ...the network so that a hidden unit recognizes one and only one kind of ... See full document

... Artificial Neural Networks (ANN) now is widely used in many ...pattern recognition (CCPR) has become an active area of research since late ...useful review on the application of ANN for ...in ... See full document

... A robust feature extraction algorithm for speech signals is proposed. This algorithm depends on combining both the wavelet transform and the MFCCs for the feature extraction stage. First, the wavelet transform is applied ... See full document