A Two Level Face Recognition Algorithm For Efficient Attendance Marking

Abstract

A face recognition is ascending as an exuberant research region traversing many controls like image processing, design acknowledgment, pattern recognition, PC vision and neural systems. Face recognition innovation has different business applications and another business. Here this paper introduces an automated complex face recognition based on the combination of w-Quartette and v-HOG which prepares the face picture for recognition and interpret the extraction information. As a piece of the proposed calculations, Filters of Wavelets have been executed utilizing multi-resolution approaches because of their adaptability, reasonableness, and normality for face acknowledgment. The proposed framework enhances the execution of a current face recognition framework by reducing out the occlusions, human intervention, marking and entry of attendance.