Face detection for student attendance using deep learning

Abstract

Face detection is the task of identifying an individual students face and their database recognized deep learning. Face detection is the largest technology with the attendance of college students. The goal of my work is to complete face detection for college student's attendance. The system uses a support vector machine (SVM) in facial features. The students features compare to faces between system managers them efficient. The Eigenfaces detection local binary pattern and Recognization and facing detection method codes used sequentially. This project statistical approach using data objects analysis. And one method and main one thing that it is to compare different face detection method which includes feature extraction, PCA and data storage

 Keywords:CCTV camera, depth camera, depth face database, depth face Recognization, quantized patterns, svm(support vector machine),HOG(histogram of gradient feature point).