In this paper, a new technique coined two-dimensional principal component analysis
(2DPCA) is developed for image representation. As opposed to PCA, 2DPCA is based on …

Researchers have suggested that the ear may have advantages over the face for biometric
recognition. Our previous experiments with ear and face recognition, using the standard …

In this paper, we propose a new discriminative multimetric learning method for kinship
verification via facial image analysis. Given each face image, we first extract multiple …

Face recognition is one of the most successful applications of image analysis and
understanding and has gained much attention in recent years. Various algorithms were …

In this paper, we propose a new prototype-based discriminative feature learning (PDFL)
method for kinship verification. Unlike most previous kinship verification methods which …

We present a comprehensive performance study of multiple appearance-based face
recognition methodologies, on visible and thermal infrared imagery. We compare algorithms …

Biometrics identification methods proved to be very efficient, more natural and easy for users
than traditional methods of human identification. In fact, only biometrics methods truly …

Benefited from quaternion representation that is able to encode the cross-channel
correlation of color images, quaternion principle component analysis (QPCA) was proposed …

Much of the existing face recognition systems operate in 2D. As the search for improved
recognition performance intensifies, alternative methods, eg, 3D, are under consideration …

Recently, multi-modal biometric fusion techniques have attracted increasing atove the
recognition performance in some difficult biometric problems. The small sample biometric …