In recent times, face recognition is developing rapidly for its various applications in the field of Human-Interface, Biometrics, Robotics, Security, Surveillance and other commercial use. Biometric based advancements and technologies include identification associated with the biological characteristics (finger print, retina scanning) and behavioral traits (mood detection). Out of the available recognition sensors, facial image recognition is highly recommended because of its easy to use(cameras), reasonable cost, precise measurement and other features. In this paper, we are reading various facial images and storing them. Image test benches are read in our Verilog program and stored in memories. We compare images bit by bit and check if there is any mismatch. If image is matched then we display «Match found» otherwise «No match found ». In further study, we are obtaining special features of the face such as Lip portion or Eye portion. We subtract test images with stored images and compare the subtracted value with threshold limit for detection. © 2015 IEEE.