Levenberg-marquardt backpropagation neural network with techebycheve moments for face detection

Face detection is an intelligent approach used in a variety of applications that identifies human faces digital images. This work presents new method which composes neural network and Techebycheve transforms for face detection. For feature extraction, Tchebychev transform was applied, discrete given different sampling patterns several samples here were performed on color A Levenberg-Marquardt backpropagation applied to the transformed image find dataset FDDB benchmarked database. Model performance measured based its accuracy best result from newly proposed 98.9%. Simulation results showed handles efficiently.