关键词: 局部二值模式, Fisherfaces, 多模态人脸识别, 融合

Abstract: Five fusion methods at match score level have been compared for multi-modal face recognition.Firstly Local Binary Pattern（LBP） descriptor is used to extract the LBP Histogram Sequence（LBPHS） from greyscale and depth face images.Then the corresponding linear subspaces are constructed by Fisherfaces respectively.The cosine similarity is adopted to compute the match scores of projected vectors.Then five methods are utilized to fuse match scores.The experimental results on FRGC database indicate that the recognition performance of all fusion methods except min-score is better than that of unimodal ones.

Key words: Local Binary Pattern（LBP）, Fisherfaces, multi-modal face recognition, fusion