An Efficient Face Recognition using PCA and Euclidean Distance Classification?Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 6)
Publication Date: 2014-06-30
Authors : Ashutosh Chandra Bhensle; Rohit Raja;
Page : 407-413
Keywords : face recognition; PCA; minimum distance classification; criminal detection; face vectors;
Person identification using face is very exigent and knotty problem. Recognition of a person from an arbitrary perspective is crucial requirements for security measures and access control. Recognition of a particular face can be helpful for lots of problems like person ? computer interaction, criminal detection, etc. The current system has more calculation due to upper dimensionality and not more effectual as well. Thus, instead of acquiring the face vectors with high dimensionality it is better to use face vectors with lower dimensionality. This implemented face recognition system is easy and comparatively simple to recognize the faces from videos taken from a distance and web cams. The improved PCA algorithm takes out facial features and classification is performed by minimum distance classification.
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Last modified: 2014-06-24 00:18:44