A hybrid learning RBF neural network for human face recognition with pseudo Zernike moment invariant

Introduces a method for the recognition of human faces in 2-dimensional digital images using a new hybrid learning algorithm (HLA) for radial basis function (RBF) neural network as classifier and pseudo Zernike moment invariant (PZMI) as face feature. Also we evaluate the effect of orders of the PZMI on recognition rate, in the proposed technique. Simulation has been carried out on the face database of Olivetti Research Laboratory (ORL) and recognition rate of 98.7% is obtained using this proposed technique.