In this work, a new human face recognition algorithm based on bidirectional two
dimensional principal component analysis (B2DPCA) and extreme learning machine (ELM) …

One of the most pertinent applications of image analysis is face recognition and one of the
most common genetic disorders is Down syndrome (DS), which is caused by chromosome …

In this paper, we propose a novel ensemble-based approach to boost performance of
traditional Linear Discriminant Analysis (LDA)-based methods used in face recognition. The …

This article first provides an review of important concepts in the field of information fusion,
followed by a review of important milestones in audio–visual person identification and …

This paper addresses the question of computationally inexpensive yet discriminative and
robust feature sets for real-world face recognition. The proposed descriptor named Patterns …

This report first provides an overview of important concepts in the field of information fusion,
followed by a review of important milestones in audio-visual person identification and …

In this paper, we recognize the need of de-identifying a face image while preserving a large
set of facial attributes, which has not been explicitly studied before. We verify the underling …

In this letter we propose a facial feature extraction technique which utilizes polynomial
coefficients derived from 2D Discrete Cosine Transform (DCT) coefficients obtained from …

The design of a recognition system requires careful attention to pattern representation and
classifier design. Some statistical approaches choose those features, in a d-dimensional …

Gait Energy Image (GEI) has been proved to be an effective identity signature in gait
recognition. But previous approaches only treat this 2D image representation as a holistic …