The Design And Implementation Of Attendance Management System Based On Face Recognition

With the development of enterprise informationization, attendance is an essential part of personnel management in institutions and enterprises.At present, many enterprises are mainly applied IC card attendance system in which people is easily to make mendacious records and lose his card. These phenomenon bring about some bad effects in business management, therefore, this part of the unit, designed face recognition system to record attendances of employees to solve these matters.This system is done based on the development environment of Microsoft Visual Studio2010, database of SQL Server2008and the usage of OpenCV Library. According to the software engineering methods, firstly we do a system needs analysis,and then design the overall function of the system, finally do the detailed modulus and database design. By dividing the system into two parts, which are the Image processing modular and attendance management modular, we focus on the first part that is the core component of this system. The real-time pedestrian detection method based on the expanded Haar-like characteristic and Adaboost algorithm. The feature extraction module of face recognition is based on Gabor wavelet transform, and the dimension of Gabor feature is reduced by principal component analysis, and then linear discriminate analysis and the nearest neighbor discriminate analysis are combined to finish the face recognition.All function modulus of Face Recognition Attendance System have been finished and tested. Using Haar-like characteristic and Adaboost algorithm in face detection is reliable and more precise. Loading trained classifier of OpenCV boosts the speed of detection. Gabor wavelets transform which is not susceptible to illumination and geometric deformation. With the test of the FERET face database, it is found that2%～4%increase in recognition rate can be achieved compared with traditional fisher algorithms.