Fingerprint Based Real Time College Attendance System

Paper aims at designing a student attendance system which could effectively manage attendance of students at educational institutes. Attendance is marked after student identification. For student identification, a fingerprint recognition-based identification system is used. Fingerprints are considered to be the best and fastest method for biometric identification. They are secure to use, unique for every person and does not change in one’s lifetime. Fingerprint recognition is a mature field today, but still identifying individual from a set of enrolled fingerprints is a time taking process. It was our responsibility to improve the fingerprint identification system for implementation on large databases e.g. of an institute or a country etc. In this paper, many new algorithms have been used e.g. gender estimation, key based one to many matching, removing boundary minutiae. Using these new algorithms, we have developed an identification system which is faster in implementation than any other available today in the market. Although we are using this fingerprint identification system for student identification purpose, the matching results are so good that it could perform very well on large databases like that of a country like India (MNIC Project).