Student Attendance Monitoring System using Fingerprint Recognition

Our paper aims at designing a “Student Attendance Monitoring System Using Fingerprint. Recognition which could effectively manage attendance of scholars at the institute. Attendance is marked after student identification. For student identification, a fingerprint recognition based identification system is employed. Fingerprints are considered to be the most effective and fastest method for biometric identification. They are secure to use, unique for each person and do not change in ones lifetime. Fingerprint recognition could be a mature field today, but still identifying individuals from a collection of enrolled fingerprints could be a time taking process. It absolutely was our responsibility to enhance the fingerprint identification system for implementation on large databases. During this project, many new algorithms are used. Using this algorithm, we have developed an identification system which is quicker in implementation than the other available today within the market. Although we are using fingerprint identification systems for student identification purposes in our project, the matching results are so good that it could perform okay on large database. Nowadays accurate personal identification is becoming more and more important. Usual means smart cards, password etc. have shown their limits. Currently fingerprint recognition is that the most generally used technique for private identification. The use of ink and paper to induce a picture from a finger was used for an extended time, but technological advances have enabled to automate the acquisition stage by means of fingerprint identification system. The proposed automated attendance system supported finger recognition was tested on class of student fingerprint database and achieved significant results for taking an attendance of the code of the department of computer engineering.