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Title: An approach to maintain attendance using image processing techniques
Authors: Yuvaraj, C.B.
Srikanth, M.
Santhosh, Kumar, V.
Srinivasa, Murthy, Y.V.
Koolagudi, S.G.
Issue Date: 2018
Citation: 2017 10th International Conference on Contemporary Computing, IC3 2017, 2018, Vol.2018-January, , pp.1-3
Abstract: Nowadays, the research is growing towards the invention of new approaches. One such most attracted application is face recognition of image processing. There are several innovative technologies have been developed to take attendance. Some prominent 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 constructed 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. � 2017 IEEE.
Appears in Collections:2. Conference Papers

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