Biometric Attendance Management System

摘要

Taking attendance is a long process and takes lot of effort and time, especially if it involves huge number of students. It is also problematic when an exam is held and causes a lot of disturbance. Moreover, the attendance sheet is subjected to damage and loss while being passed on between different students or teaching staff. And when the number of students enrolled in a certain course is huge, the lecturers tend to call the names of students randomly which is not fair student evaluation process either. This process could be easy and effective with a small number of students but on the other hand dealing with the records of a large number of students often leads to human error. Human face delection by computer systems has become a major field of interest. Face detection algorithms are used in a wide range of applications, such as security control, video retrieving, biometric signal processing, human computer interface, face recognitions and image database management. The system should be built to be used for a prolonged period of time anywhere in the university campus where attendance would be tracked and saved in excel sheets for efficiency and accuracy. Techniques like Haar Cascade Classifiers which is a face detection classifier and LBPH Facial Recognition process were used. With the help of the following techniques, this has been successfully implemented for maintaining the attendance record. The main motive behind developing this system is to eliminate all the drawbacks which were associated with manual attendance system, which was successfully eliminated.