Research Of Employee Attendance System Based On Fingerprint Identification Technology

With the development of information technology,secure identity identification technology becomes the key problem in many systems.Traditional security systems based on token or IC card become fragile and cannot meet the demand of modern security system. So biometric technology is the most convenient and secure identity identification technology because of uniqueness and permanence of biometric character. Fingerprint identification is one of the most efficient biometric technologies.And Automatic Fingerprint Identification System (AFIS) has been widely employed in many applications. In this thesis, based on current theoretic framework, attention has been given to some key problems such as fingerprint image pre-processing,features extraction and minutiae matching for further improvement, and Fingerprint identification was applied in employee attendance management.This thesis has mainly completed the following respects:[1] A improved Gabor filter fingerprint enhancement algorithm is introduced, This thesis uses the average ridge frequency and the circle Gabor filter to enhance fingerprint images, and this method can remove the blocking effect and the orientation effect. Adaptive size of the filter can adapt to the change of the average ridge frequency of fingerprint images.[2] The minutiae can be extracted by using 8-neighborhood algorithm. A feature extraction post-processing algorithm would delete all false minutiae.[3] This thesis presents a fingerprint matching algorithm using minutiae and the orientation field. It first aligns two fingerprints based on their minutiae, and then computes the consistency of their orientation fields. Experiments show that this algorithm leads to substantial improvement in performance compared with the current minutiae-based algorithm.[4] We developed a employee attendance system using fingerprint identification technology based on the hybrid mode of C/S and B/S. The thesis researched the algorithms of pre-processing and minutiae extraction ect. The experiments showed that the algorithms can be effectively enhance fingerprint images, and can accurately extract fingerprint image's minutiae. The system can meet the needs of attendance.The fingerprint attendance system introduced in the thesis has can be used in employee attendance management, and also can be used in other area with a few changes. The system should have good market and industrialization future.