Feature extraction is a crucial step for face recognition. In this paper, based on supervised local structure and diversity projection (SLSDP), a new feature extraction method called orthogonal discriminant diversity and similarity preserving projection (ODDSPP) is proposed for face recognition. ODDSPP defines two parameterless weighted matrices by taking into account the class label information and local structure. Thus ODDSPP could utilize both the diversity and similarity information of the d
