Fingerprint biometric based Access Control and Classroom Attendance Management System

Fingerprint is a reliable biometric feature having a wide range of applications that require authentication. Person-specific verification is needed in many scenarios such as access-control, classroom attendance and financial transactions etc. In this paper, two applications of fingerprint biometric are proposed. An Access Control System (ACS) prototype is demonstrated for person-specific door access, using a fingerprinting device. Another prototype of a Classroom Attendance Management System (CAMS) is developed that uses fingerprint as biometric feature for classroom attendance. The CAMS consists of modules for database, web-user interface and views at multiple levels of access. Both systems are expected to mitigate the shortcomings of alternative existing systems, and eliminate the possibilities of spoofing or proxy. These systems store fingerprints along with the date/time-stamp for each user. Fingerprints are stored dynamically in a database for computing the different statistics, e.g., month-wise or semester-wise trends in the case of CAMS. The CAMS can also provide a solution to the problem of late-coming. Experiments are conducted for measuring the recognition accuracy, i.e., fingerprint match. The initial results of recognition accuracy at 87% for ACS and 92% for CAMS are encouraging. The proposed systems can be further scaled-up for real-time deployment, in applications such as employee attendance and controlled access to high-security areas etc.