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Title: Marking attendance through face recognition
Authors: P. Asha, Akhila Vadapalli, K. K. L. Pratyusha
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2018
Volume: 13
Issue: 15
Language: English
The work presents an automated attendance system based on face recognition. The proposed system involves face detection, Features extraction, and matching. The face detection is to detect faces based on Viola-Jones algorithm using vision toolbox. In the feature extraction stage, the binary format is used for the different extraction process. A DRLDP operator is used for obtaining the edge values for every position of the pixel and results in the code generation. The obtained results are matched with the previously stored images of an individual for verification.
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