Real Time Face Recognition Attendance System

Shikha Chaudhary, Rohit Srivastav, Rohini Verma, Mayank Mishra, Tanu Srivastav

Department of Computer Science and Engineering,

Babu Banarasi Das Institute of Technology and Management, Lucknow, India

ABSTRACT

Face recognition is now one of the most advanced computer vision technologies available. In computer vision, illumination, position, and facial expression, face identification is always a difficult task. In live video images taken with a video camera, face recognition tracks target objects. It is a system application for automatically identifying a person from a still image or video frame in simple terms. We proposed an automatic facial recognition method in this paper. Face detection, feature extraction, and identification algorithms are used in this application, which automatically detects the human face when the person in front of the camera recognizes him. For face detection, we employed the Haar Cascade Algorithm, which uses a Haar cascade classifier to recognize human faces. The test is carried out in real-time. The experiment is carried out in a real-time setting. The testing result indicated a satisfactory outcome with an average recognition rate of 87.5 percent using 5 faces image data taken 100 times. The experiment is carried out in a real-time setting. The testing result indicated a satisfactory outcome with an average recognition rate of 87.5 percent using 5 faces image data taken 100 times.

Keywords— Face detection, Face feature extraction, face recognition, Haar Cascade Algorithm