Block Face Recognition Combined with Local Ternary Pattern and Fisherfaces

(Abstract )This paper presents a face recognition method based on Local Ternary Pattern(LTP) and Fisherfaces. LTP operator is used to extract the LTP Histogram Sequence(LTPHS) from block grey7level face images. Fisherfaces based on feature selection method is applied to extract feature subspace. Face recognition is realized based on the nearest neighbor principle. The proposed method can effectively extract the face texture, and can greatly reduce the amount of training data, and the dimension of the amount of data has nothing to do with the original image size. Simulation experimental results illustrate that the proposed method obtains better recognition rate on both ORL and YALE face database comparing with classical methods.