Abstract:
Authentication is one of the significant issues in the era of information
system. Among other things, human face recognition (HFR) is one of known
techniques which can be used for user authentication. As an important branch of
biometric verification, HFR has been widely used in many applications, such as
video monitoring/surveillance system, human-computer interaction, door access
control system and network security.
This PROJECT proposes a method for student attendance system in
classroom using face recognition technique by combining Discrete Wavelet
Transforms (DWT) and Discrete Cosine Transform (DCT) to extract the
features of student’s face which is followed by applying Radial Basis Function
(RBF) for classifying the facial objects.
