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Full Version: Face Recognition System based on PCA C++ project
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This Face Recognition system is based on Principle Component Analysis by extracting feature in the form of Eigen Vectors.
face verification we have used High quality 1/4 CMOS sensor- 480K pixels (Interpolated 8M pixels still image) and for reading finger prints we used optical sensor with 0.14 sec (continuous) / 0.20 sec (snap-shot) imaging speed. Face verification is based on the fundamental concept of 2D model i.e. Principal Component Analysis. It is a mathematical procedure that performs a dimensionality reduction by extracting the principal components of the multi-dimensional data. Fingerprint verification is based on minutiae extraction and Eigen vectors formation.


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