Face recognition is a rapidly growing research area due to increasing demands for security
in commercial and law enforcement applications. This paper provides an up-to-date review …

Starting with fingerprints more than a hundred years ago, there has been ongoing research
in biometrics. Within the last forty years face and speaker recognition have emerged as …

This paper describes a new software-based registration and fusion of visible and thermal
infrared (IR) image data for face recognition in challenging operating environments that …

A Review of the Fingerprint, Speaker Recognition, Face Recognition and Iris Recognition Based
Biometric Identification Technolog Page 1  Abstract—This paper reviews four biometric …

Locally linear embedding (LLE) is a nonlinear dimensionality reduction method proposed
recently. It can reveal the intrinsic distribution of data, which cannot be provided by classical …

A low-dimensional representation of sensory signals is the key to solving many of the
computational problems encountered in high-level vision. Principal component analysis …

Principal component analysis (PCA) has been successfully applied to construct linear
models of shape, graylevel, and motion in images. In particular, PCA has been widely used …

Spoofing with photograph or video is one of the most common manners to attack a face
recognition system. In this paper, we present a non intrusive and real time method to …

Abstract “What being walks sometimes on two feet, sometimes on three, and sometimes on
four, and is weakest when it has the most?”—The Sphinx's Riddle Pattern recognition is one …

Spaces that optimally contain the Set of images that are generated by varying the
illumination impinging on the Surface of a three-dimensional object for many different …