Face Recognition of Different Modalities Using STIP and LBP Features
In this paper, the authors are to transform the samples in different modality to a common feature space. The discriminate features for the modalities are well aligned so that the comparison between them is Possible. In this paper, has been proposed method to recognize the heterogeneous face recognition. The prototype subjects (i.e., the training set) have an image in each modality (probe and gallery), and the similarity of an image is measured against the prototype images from the corresponding modality. Initially filtered with three different image filters such as difference of Gaussians, CSDN (Center Surround Devise Normalization), Gaussian filter.