Biometric recognition has gained popularity in recent years. This paper proposes using BPNN for face recognition, a biometric recognition technique, due to its wide range of face recognition applications in video surveillance, retrieval of identity criminal investigations, passport verification, home and office security, and forensic applications. In this paper, Olivetti and Oracle Research Laboratory (ORL) face database was tested as a proposed method, which consists of 10 face images with different poses and expressions (happiness, sadness, normal, Eye close, fair) for 40 people. The face recognition algorithm was implemented using MATLAB and trained in a back propagation neural network. The results indicate that the proposed method achieved a high recognition rate, with an accuracy of 100%.