This document describes a proposed automated attendance management system using face recognition. The system uses Viola-Jones algorithm for face detection, and discriminative robust local binary pattern (DRLBP) and local directional pattern (LDP) techniques for feature extraction and matching. The system aims to overcome issues with manual attendance tracking systems by automatically detecting faces from images, extracting features, and matching with a stored database to mark attendance. Key steps include face detection, feature extraction using DRLBP for texture and LDP for shape, and matching extracted features to stored features using Euclidean distance for identification. The goal is a more efficient and secure automated attendance tracking system.