Face recognition: features versus templates
Roberto Brunelli, Tomaso Poggio · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1993
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.>