Abstract:
In today’s world security is the most important aspect. Border criminals, frauds, unauthorized
immigrants are burning issues in Sri Lanka within the last few years due to the lack of proper
identification system i.e. duplicate passports, fake identity, etc. Therefore, the efficiency and
accuracy of the traditional authentication system are not good enough to overcome this
disaster. Furthermore, cryptanalysis and brute force attacks are dramatically strong with
uncontrolled demanding of computational power. In fact, the efficiency and accuracy of the
authentication are not enough to cater the future authentication systems by comparing
traditional user authentication techniques. Therefore, Biometrics is the ideal solution for
authentication as it has advantages over conventional systems. Second, it's not important to
recall a biometric and it can't easily be lost. It makes the client much smoother. In addition, it
is not easy to stolen or loan a biometric to a relative.
Biometrics can provide greater security and comfort than traditional methods of human
identification. Even if we don't want to replace a conventional method with a biometric one,
we are certainly future consumers of these systems, which will even be mandatory for new
passport models. Therefore, it is important to be familiar with biometric security engineering
possibilities. The most common way for people to perform biometric authentication maybe
facial recognition. Face recognition can be based on single images, multiple still images or
video sequences. Although most of the efforts have been traditionally dedicated to the former,
the latest is rising, probably due to the lowering of prices in devices for image and video
acquisition. The system was designed using the technology of multi-agents and it has two
phases biometric capturing phase at VISA granting process and biometric recognition phase
at border points. The product's longevity is maintained through the use of biometric and
nonbiometric techniques. This solution has been implemented as a multi-agent program with
a hybrid approach that identification of faces and validation of fingerprint. The system has
been tested in a border protection environment which is a more time-critical real-world
application and notices the 87% accuracy in the recognition phase. The proposed system
evaluated with traditional border management software and time calculated for each
participant. Those participants have given informed consent participation at the evaluation.
