ABSTRACT

In this paper an overview of face recognition research activities at the interact Research Center is given. The face recognition efforts at the interact Research Center consist of development of a fast and robust face recognition algorithm and fully automatic face recognition systems that can be deployed for real-life smart interaction applications. The face recognition algorithm is based on appearances of local facial regions that are represented with discrete cosine transform coefficients. Three fully automatic face
recognition systems have been developed that are based on this algorithm. The first one is the “door monitoring system” that observes the entrance of a room and identifies the subjects while they are entering the room. The second one is the “portable face recognition system” that aims at environment-free face recognition and recognizes the user of a machine. The third system, “3D face recognition system”, performs fully automatic face recognition on 3D range data.

Current System

There are many face recognition systems that are available today in market. These systems are based on different algorithms such as Local DCT, Eigenfaces, LDA, Bayesian … etc., But all these systems are restricted to the environment at specific lighting conditions. Many of these systems cannot recognize the faces that are not in proper position. The position of the face also makes a major role. These systems cannot recognize the face in 3d.
Proposed System

The proposed system can be capable of identifying the faces in different lighting effects. It can also find the solution in the 3d face. This is based on the most popular algorithm called eigenfaces. This algorithm yields 86.5% accuracy. Even though Local DCT is giving 93.1% accuracy we are considering the eigenfaces because of its ability to consume less computer resources like processing power and storage space. We required to sacrifice 6.6% of accuracy which is negotiable.

SYSTEM REQUIREMENTS

SOFTWARE REQUIREMENTS:

•           Web Technologies                               :           HTML, CSS, JS. JSP

•           Programming Language                      :           Java and J2EE

•           Database Connectivity                        :           JDBC

•           Backend Database                              :           MySQL

•           Operating System                               :           Windows 08/10

HARDWARE REQUIREMENTS:

• Processor                     :           Core I3
• RAM Capacity            :           2 GB
• Hard Disk                   :           250 GB
• Monitor                       :           15″ Color
• Mouse                         :           Two or Three Button Mouse
• Key Board                  :           Windows 08/10