Makeup-invariant face recognition by combination of Local Binary Pattern and Dual-Tree Complex Wavelet Transform from women´s images

Facial makeup is one of the problems that are caused decrease in the performance of face recognition algorithms. In this paper, a novel method is proposed to handle facial makeup in face recognition. The combining of Local Binary Pattern (LBP) and Dual-Tree Complex Wavelet Transform (DT-CWT) is applied to face image for feature extraction. Then, by combining entire of LBP and DT-CWT feature vectors, the final feature vectors are generated and classified by the Support Vector Machine (SVM). Promising results were achieved for makeup-invariant face recognition on the available image database based on the present method compared to several state-of-the-art methods.