The conventional nearest neighbor classifier (NNC) directly exploits the distances between
the test sample and training samples to perform classification. NNC independently evaluates …

In this paper, we propose a novel method for face recognition. Its basic idea is to use a
coarse to fine strategy based on Scale Invariant Feature Transform (SIFT) feature. To …

Transformation methods have been widely used in biometrics such as face recognition, gait
recognition and palmprint recognition. It seems that conventional transformation methods …

To improve the classification accuracy of face recognition, a sparse representation method
based on kernel and virtual samples is proposed in this paper. The proposed method has …

A panorama parking assistant system (PPAS) for the automotive aftermarket together with a
practical improved particle swarm optimization method (IPSO) are proposed in this paper. In …

In this paper, we propose a two-phase face recognition method in frequency domain using
discrete cosine transform (DCT) and discrete Fourier transform (DFT). The absolute values …

Sparse representation method (SRM) is a state-of-the-art face recognition method.
Nevertheless, SRM exploits image samples rather than image features to perform …

Minimum squared error based classification (MSEC) method establishes a unique
classification model for all the test samples. However, this classification model may be not …

Cryptographic approaches are traditional and preferred methodologies used to preserve the
privacy of data released for analysis. Privacy Preserving Data Mining (PPDM) is a new trend …

In this paper, we propose a novel image-based identity verification method. This method first
uses the training images of the claimed identity to represent the testing sample and then …