Design And Implementation Integrated Management System Of Photography Association Based On Face Identification

In recent years, due to the face has particularity that can not be copied, so the face as a biometric key has been widely applied such as identity authentication, access control, security,e-commerce and other fields. The problem of these applications are mostly that the face is who (who are you). In order to identify the ID. Although the accuracy of face recognition is lower than iris recognition, fingerprint recognition and other biometric technology .the scope of application of face recognition is better than other biometric recognition technique. mainly because its non-invasive detection method for the user is a non-contact nature,easier to different user acceptance. This is the reason why face recognition technology is so popular.However, this paper puts forward another application scenarios,namely through the face recognition technology to carry on the management to the existence of human faces.This paper conducted in-depth study on face detection and recognition, and combined with the actual engineering requirements of the design and implementation of a photographic association of integrated management system, the main work is as follows:1 . Some of the current mainstream face recognition algorithms are analyzed and summed up the advantages and disadvantages,including neural network algorithm for face recognition,support vector machine algorithm for face recognition, linear subspace face recognition algorithm, Boosting algorithm for face recognition.2. According to the detection in complex background and face angle of the face detection problem, this paper proposes a more robust algorithm, namely the two stage strategy of face recognition, firstly, skin color of the sample, eliminating most of the non face regions, won the face candidate regions may exist. Then by use of different location of eye eye gray value,so as to further determine the face position. Flipped automatically using the function of photography members upload portraits and children work, reduces the working intensity works management. The application of face recognition technology to work management.3. Combined with the traditional authorization and role based on access control (RBAC)model, the mixed authorization thoughts, the permissions change is small, direct authorization of persons in authority, variation in the circumstances, the role authorization. Reduce the database load, the authorized flexible manner.4. Google Map is applied to the management system, the photographer between geographic location information can be quickly shared photography.5. The design and implementation of an integrated management system for photography association.System design and development of JAVA is based on B/S architecture, using face recognition technology,Google Map,JNI technology,AJAX technology,SSH framework technology. Combined with the face recognition algorithm based on skin color and the face recognition algorithm based on the gradient characteristics of eyes, the two stage strategy of face recognition. Face automatic detection and automatic turning on the complex background of portrait photography. The experiment proves the feasibility and superiority of the method.