As a primary modality in biometrics, human face recognition has been employed widely in
the computer vision domain because of its performance in a wide range of applications such …

The theory of moments and transforms is well established and widely applied to a number of
computer vision, pattern recognition and image processing applications. A sub-class of …

Featured Application This work integrates image structural features into a new similarity
measure suitable for face recognition with the new merit of recognition confidence. Abstract …

In the field of radiology, mammographic screened images (ie X-ray image sensing) are very
challenging and difficult to interpret. The expert radiologist visually hunts the mammograms …

The first introduction of 2-D moments in engineering life was performed by Hu in 1962 [60].
Hu proposed the 2-D geometric moments of a distribution function (an image) as a …

In this paper, the classical generalized Chebyshev-Fourier moments (G-CHFMs) and
generalized pseudo–Jacobi-Fourier moments (G-PJFMs) have been extended to represent …

Selection and implementation of a face descriptor that is both discriminative and
computationally efficient is crucial. Local Binary Patterns (LBP) and Histogram of Oriented …

In face recognition tasks, one kind of feature set is not adequate to generate superior results;
thus, selection and combination of complementary features are crucial steps. In this paper …

Facial expression recognition is a challenging issue in the field of computer vision. Due to
the limited feature extraction capability of a single feature descriptor, in this paper, a hybrid …

In this chapter, an investigation has been conducted on the applicability of discrete
orthogonal Hahn and Racah moments for face recognition regarding to robustness against …