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In this paper, an Eigenvector based system has been presented to recognizefacial expressions from digital facial images. In the approach, firstly theimages were acquired and cropping of five significant portions from the imagewas performed to extract and store the Eigenvectors specific to theexpressions. The Eigenvectors for the test images were also computed, andfinally the input facial image was recognized when similarity was obtained bycalculating the minimum Euclidean distance between the test image and thedifferent expressions.

Recognition of Facial Expression Using Eigenvector Based Distributed Features and Euclidean Distance Based Decision Making Technique