Paper Title :Real Time Smart Attendance Maintenance System based on PCA and Eigen Face Recognition Technique
Author :Apoorva Rathore, Sunil Joshi
Article Citation :Apoorva Rathore ,Sunil Joshi ,
(2021 ) " Real Time Smart Attendance Maintenance System based on PCA and Eigen Face Recognition Technique " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 9-11,
Volume-9,Issue-1
Abstract : Attendance maintenance can be burdensome task if done manually. Face recognition is promising biometric
technique to help avoid proxies thereby facilitating real time smart attendance management. Unlike other biometric
techniques like iris, palm or fingerprint , face recognition is a non intrusive process. The technology is getting widely used in
criminal detection, face tracking, airport security, and forensic surveillance systems. This paper proposes Eigen face based
PCA algorithm for face recognition. This face recognition system recognizes the faces in a web-cam or from an existing
database, and these face images are then tested on the basis of descriptive features with a training image dataset. Matlab
Image Processing toolbox is used for Image processing.
Keywords - Eigen faces, PCA, Face Recognition, Image Processing.
Type : Research paper
Published : Volume-9,Issue-1
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-17735
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Copyright: © Institute of Research and Journals
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Published on 2021-04-07 |
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