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Smart Card Based e-PDS System
RAHUL J. JADHAV, DR.PRALHAD K. MUDALKAR Associate Professor, MCA Department, BharatiVidyapeeth Deemed University,YMIM, Karad, India Associate Professor, MBA Department, BharatiVidyapeeth Deemed University,YMIM, Karad, India
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Abstract: In this paper, Face Recognition is performed using 2D Principal Component Analysis based dimension reduction technique. 2DPCA is the traditional matrix based feature extraction method. 2DPCA essentially work on the facial image matrixes only in one or two direction. The projection vectors based on eigen values are compared by Euclidean distance, City Block distance, Mahalanobis and Covariance Similarity measures. Face recognition is performed for unique identification. Proposed methodology is fusion of two stages β Feature extraction using 2D principle component analysis and recognition using classifiers. For experiment ORL Face database is used. In this database 10 face images of 40 persons each are provided. So as a whole 400 face images are obtained. This database provides images which vary on the basis of pose, illumination, beard, moustaches, and glasses. 2DPCA with City Block distance is giving best result.
Keywords: PCA, 2DPCA, Euclidean distance, City Block distance, Mahalanobis and Covariance
Keywords: PCA, 2DPCA, Euclidean distance, City Block distance, Mahalanobis and Covariance
How to Cite:
[1] RAHUL J. JADHAV, DR.PRALHAD K. MUDALKAR Associate Professor, MCA Department, BharatiVidyapeeth Deemed University,YMIM, Karad, India Associate Professor, MBA Department, BharatiVidyapeeth Deemed University,YMIM, Karad, India, βSmart Card Based e-PDS System,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.