DEVELOPMENT OF BIOMETRIC METHODS AND INFORMATION SECURITY TOOLS
Ключевые слова:
ANN, BPNN, NLP, PCA, Resilient Back propagation, biometric systems.Аннотация
Now a day’s security is a big issue, the whole world has been working on the face recognition
techniques as face is used for the extraction of facial features. An analysis has been done of the commonly used face
recognition techniques. This paper presents a system for the recognition of face for identification and verification
purposes by using Principal Component Analysis (PCA) with Back Propagation Neural Networks (BPNN) and the
implementation of face recognition system is done by using neural network.
The use of neural network is to produce an output pattern from input pattern. This system for facial recognition
is implemented in MATLAB using neural networks toolbox. Back propagation Neural Network is multi-layered
network in which weights are fixed but adjustment of weights can be done on the basis of sigmoidal function. This
algorithm is a learning algorithm to train input and output data set. It also calculates how the error changes when
weights are increased or decreased. This paper consists of background and future perspective of face recognition
techniques and how these techniques can be improved.
