Parallel Processing for Automatic Face Recognition using Eigenfaces
نویسندگان
چکیده
In this paper, we present a parallel face recognition algorithm based on \eigenfaces", which are known as the signiicant features because they are the eigenvec-tors(principal components) of a set of face images. Our work is composed of two phases: eigenface construction and face recognition. For the construction of eigenfaces, a solution of eigenvalue/eigenvector problem using parallel Jacobi transformation is suggested. In recognition phase, a set of weight components is calculated in parallel by projecting a input face image onto each of pre-computed eigenfaces at each processing elements(PE's). Our parallel face recognition approach were implemented and evaluated on the transputer based parallel computer using grey scale face images with moderately cluttered backgrounds. Experimental results reveals that time taken for both eigenface construction and recognition is sharply decreased as the number of PE's are increased.
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