Fingerprint recognition systems are considered to be the most commonly deployed biometric systems, due to their precision, ease and performance . Arista Knowledge Systems(TM) and DigitalPersona(TM) claim to develop the first e-Learning management system to verify students by their fingerprints . Arges et al proposed a hybrid approach in which an electronic token or e-card was used along with the fingerprint verification to increase the authentication performance of the e-exam security system . The system involved a process of enrolment- to capture the user’s fingerprint for the database and generate a specific e-token for the user. Authenticated users were provided access by verifying their fingerprints and e-tokens with the stored database.
Hand geometry recognition systems require a small sized data to uniquely identify a user from its stored database or templates . A system is proposed by Jain et al.  in which there exist processes of image acquisition, enrolment and verification. One commendable approach in this system to enhance the accuracy of the acquired hand geometry image is that two samples are taken from the user. Average is taken for these samples so that an accurate image can then be compared with stored database of enrolled users. This system can easily be deployed for e-learning environments because of its ease and accuracy.
ProAccess FaceOK developed a system for the recognition of human face image . They claim it to be the first system with the face learning capability. ...Show more