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Issue No.10 - October (1993 vol.15)
pp: 1042-1052
<p>Two new algorithms for computer recognition of human faces, one based on the computation of a set of geometrical features, such as nose width and length, mouth position, and chin shape, and the second based on almost-gray-level template matching, are presented. The results obtained for the testing sets show about 90% correct recognition using geometrical features and perfect recognition using template matching.</p>
feature-based recognition; template-based recognition; nose length; computer recognition; geometrical features; nose width; mouth position; chin shape; almost-gray-level template matching; face recognition
R. Brunelli, T. Poggio, "Face Recognition: Features Versus Templates", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.15, no. 10, pp. 1042-1052, October 1993, doi:10.1109/34.254061
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