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Face Recognition: Features Versus Templates
October 1993 (vol. 15 no. 10)
pp. 1042-1052

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.

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Index Terms:
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
Citation:
R. Brunelli, T. Poggio, "Face Recognition: Features Versus Templates," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 10, pp. 1042-1052, Oct. 1993, doi:10.1109/34.254061
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