The invention discloses an automobile logo sample training and recognition method based on air-inlet grille positioning. The training process comprises the following steps: a, obtaining air-inlet grille samples of different automobiles and converting the samples to grayness images; b, classifying the air-inlet grille samples obtained in the step a according to automobile brands, and respectively performing normalization gauge processing on various sample sets to enable the air-inlet grille samples to be unified to the same size; c, conducting Gabor function conversion on the various samples obtained in the step b to perform size conversion and rotation transformation to obtain a Gabor wavelet expression. The automobile logo sample training and recognition method has the following benefits: 1, the automobile air-inlet grille, rather than the automobile logo, is adopted as the identification target, so that more effective image information is guaranteed for identification of automobile brands; 2, the Gabor wavelet conversion is utilized to keep texture information in each direction of the air-inlet grille; 3, the template library for classifying provided by the invention has an elastic structure, so that flexible expansion and update can be realized.