This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transfo

快速曲线波变换理论属于稀疏表达的范畴，采用基函数与信号的内积形式实现信号的稀疏表示。-An Alogrithm for Multimodal Biometric Recognition Based on Feature Level and the Second-Generation Curvelet Transform