Making Attendance Management Easy with Haar Cascade Approach
Publication Date : 14/05/2019
Facial recognition technology (FRT) has a major solution to address many contemporary needs for identification and the verification of identity claims. The research is growing towards the invention of new approaches. One of the most attracted application is face recognition using image processing. There are several innovative technologies have been developed to take attendance. Some advanced ones are biometric, thumb impressions, access card, and fingerprints. The method proposed in this paper is to record the attendance through image using face detection and face recognition. The proposed approach has been implemented in four steps such as face detection, labelling the detected faces, training a classifier based on labelled dataset, and face recognition. The database has been structured with the positive images and negative images. The complete database has been divided into training and testing set and further, processed by a classifier to recognize the faces in a classroom. The final step is to take the attendance using face recognition technique in which the input image of a classroom is given, and faces of the given image will be detected along with their IDs. The frames of a video taken for a minute is taken into consideration to avoid the missed ones due to rotational issues.
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