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Face Recognition using PCA &LDA Algorithm - Ruprah, Taranpreet Singh
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Over the last decades, numerous face recognition methods have been proposed to overcome the problem limited by the current technology associated with face variations. Among them, the PCA/LDA method has known to be one of the best face recognition methods. In this thesis, we implement a face recognition method, using PCA&LDA Algorithm and compare these both algorithms with respect to time, memory and accuracy. Face recognition has received substantial attention from researches in biometrics, pattern recognition field and computer vision communities. Face recognition can be applied in Security…mehr

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Produktbeschreibung
Over the last decades, numerous face recognition methods have been proposed to overcome the problem limited by the current technology associated with face variations. Among them, the PCA/LDA method has known to be one of the best face recognition methods. In this thesis, we implement a face recognition method, using PCA&LDA Algorithm and compare these both algorithms with respect to time, memory and accuracy. Face recognition has received substantial attention from researches in biometrics, pattern recognition field and computer vision communities. Face recognition can be applied in Security measure at Air ports, Passport verification, Criminals list verification in police department, Visa processing , Verification of Electoral identification and Card Security measure at ATM s
Autorenporträt
Author:Taranpreet Singh Ruprah,Currently Working in Global Natural Care Sangathan Group of Institution, jabalpur(MP)-India,as a post of Assistant Professor.