Face Recognition Using Co-Occurrence Matrix of Local Average Binary Pattern (CMLABP)
The Local Binary Pattern (LBP) operator has been proved to be effective for image representation, but it is too local to be strength. In this paper, the authors propose Co-occurrence Matrix of Local Average Binary Pattern operator (CMLABP), and apply it to face recognition. In the method, calculation is performed based on average values of P-neighbor values of pixels, instead of individual pixels. In addition instead of histogram; that represents only the occurrences of the patterns without any indication about their locations, they use of Co-occurrence Matrix to extract features. The experimental results on the FERET and ORL face databases validate that the offered algorithm has better performance than or comparable performance with state-of-the-art local feature based methods.