Machine learning techniques can be used to create Face Recognition in e-attendance, which plays a vital role in all organizations to monitor and track people who are present. That accurately recognizes human faces and this is the most largely used in biometrics for human identity authentication. This proposed work presents an automatic face recognition using a machine learning-based hybrid technique Haar Cascade classifier and a modified Local Binary Pattern Histogram algorithm. This technique recognizes user photographs, names, and IDs in the database. Face detection, feature extraction, and recognition are the three methodologies employed in the proposed technique