The traditional wavelet-based approaches directly use the low frequency sub-band of
wavelet transform to extract facial features. However, the high frequency sub-bands also …

In this paper, a multi-resolution feature extraction algorithm for face recognition is proposed
based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently exploits …

We propose a novel facial representation based on the dual-tree complex wavelet transform
for face recognition. It is effective and efficient to represent the geometrical structures in …

Complex approximately analytic wavelets provide a local multiscale description of images
with good directional selectivity and invariance to shifts and in-plane rotations. Similar to …

In this paper, we present a novel dense local image representation method called Local
Walsh Transform (LWT) by applying the well-known Walsh Transform (WT) to each pixel of …

Feature extraction, discriminant analysis, and classification rules are three crucial issues for
face recognition. We present hybrid approaches to handle three issues together. For feature …

Based on the attractive property such as shift invariance, good directional selectivity, limited
redundancy and efficient computation of dual-tree complex wavelet transform, a novel face …

Recently, wavelet transform and image fusion mechanism have been used in face
recognition to improve the performance. In this paper, we propose a new face recognition …

Face recognition is an important research field of pattern recognition. Up to now, it caused
researchers great concern from these fields, such as pattern recognition and computer …

This paper presents a novel and interesting combination of wavelet techniques and
eigenfaces to extract features for face recognition. Eigenfaces reduce the dimensions of face …