Academy & Industry Research Collaboration Center
In this paper, the authors present an efficient algorithm for face recognition using the Local Binary Pattern (LBP) and Random Forest (RF). The novelty of this paper effort is that a Modified Local Binary Pattern (MLBP), which combines both the sign and magnitude features for the improvement of facial texture classification performance, is applied. Furthermore, RF is used to select the most important features from the extracted feature sequence. The performance of the proposed scheme is validated using a complex dataset, namely craniofacial longitudinal MORPHological face (MORPH) album 1 dataset.