DESIGN AND IMPLEMENTATION OF STUDENT ATTENDANCE RECORD SYSTEM
Download Full Final Year Project Topic and Materials for FREE. This Project Material contains 83 pages and contains Chapters 1-5
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DESIGN AND IMPLEMENTATION OF STUDENT ATTENDANCE RECORD SYSTEM
ABSTRACT
Β
This project aims at designing a student attendance system which could effectively manage attendance of students at the University. 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 oneβs 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 project, many new algorithms have been used e.g. gender estimation, key based one to many matchings, 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 in our project, the matching results are so good that it could perform very well on large databases like that of a country like Nigeria. This system was implemented in Java and MySQL for storing data.
ABSTRACT
Β
This project aims at designing a student attendance system which could effectively manage attendance of students at the University. 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 oneβs 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 project, many new algorithms have been used e.g. gender estimation, key based one to many matchings, 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 in our project, the matching results are so good that it could perform very well on large databases like that of a country like Nigeria. This system was implemented in Java and MySQL for storing data.
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