Paper Title
Real Time Smart Attendance Maintenance System based on PCA and Eigen Face Recognition Technique

Attendance maintenance can be burdensome task if done manually. Face recognition is promising biometric technique to help avoid proxies thereby facilitating real time smart attendance management. Unlike other biometric techniques like iris, palm or fingerprint , face recognition is a non intrusive process. The technology is getting widely used in criminal detection, face tracking, airport security, and forensic surveillance systems. This paper proposes Eigen face based PCA algorithm for face recognition. This face recognition system recognizes the faces in a web-cam or from an existing database, and these face images are then tested on the basis of descriptive features with a training image dataset. Matlab Image Processing toolbox is used for Image processing. Keywords - Eigen faces, PCA, Face Recognition, Image Processing.