ARM 9 Based Intelligent System for Biometric Figure Authentication

Now a day’s some universities in India are enforcing afiliated colleges to implement biometric fingerprint attendance system to monitor student attendance. This sytem requiresbiometric fingerprint scanner need to be installed in affiliated college where student studying and it is monitored by the university online. As finger print scanner is placed at affiliated college which is far away from the university, there is possibility of adding fake finger print into the scanner which can be used for proxy attendance of student who is not attending the college. In this paper, the proposed system is designed in such a way that, the acquired fingerprint of the student is initially stored in the database with complete student profile and photograph. And, when the student places his fingerprint it compares with stored database. If fingerprint matches it displays the student photo. The proposed intelligent system includes R305 fingerprint sensor and ARM 9 processor. We used RS232 for interfacing with system and visual studio 2008 software for designing the interface. This attendance system is verified practically with students and we obtained the desired results accurately.