Biometrics and Bioinformatics

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Face Recognition with Improved PCA Method Using Different Databases


Affiliations
1 E& EC Dept., PEC University of Science and Technology, Chandigarh-160012, India
2 Electronics & Electrical Communication Engineering Department, PEC University of Technology, Chandigarh, India
     

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Face recognition has been a demanding research topic during recent decades that includes different areas of research of image processing. There is an important role of human face recognition in applications such as video surveillance, human computer interface, and face image database management. In this paper, improved Principal Component Analysis (PCA) recognition method has been implemented for face recognition. The PCA recognition method has been applied on different databases (ORL and Cropped YALE database).A comparative analysis of PCA algorithms with ORL Face Database and YALE Face Database has been done and it was found that the recognition rate with ORL Face Database is better than Cropped YALE Face Database.

Keywords

Face Recognition, Eigen Faces, Principal Component Analysis, ORL Face Database, Cropped YALE Face Database.
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  • Face Recognition with Improved PCA Method Using Different Databases

Abstract Views: 148  |  PDF Views: 5

Authors

Jatin Garg
E& EC Dept., PEC University of Science and Technology, Chandigarh-160012, India
Neelu Jain
Electronics & Electrical Communication Engineering Department, PEC University of Technology, Chandigarh, India

Abstract


Face recognition has been a demanding research topic during recent decades that includes different areas of research of image processing. There is an important role of human face recognition in applications such as video surveillance, human computer interface, and face image database management. In this paper, improved Principal Component Analysis (PCA) recognition method has been implemented for face recognition. The PCA recognition method has been applied on different databases (ORL and Cropped YALE database).A comparative analysis of PCA algorithms with ORL Face Database and YALE Face Database has been done and it was found that the recognition rate with ORL Face Database is better than Cropped YALE Face Database.

Keywords


Face Recognition, Eigen Faces, Principal Component Analysis, ORL Face Database, Cropped YALE Face Database.