Face Recognition is important Biometric credentials for identification or verification of a
person. In this paper, we propose a novel technique of generating compressed unique …

The implementation of face recognition techniques in an embedded system is a very
important aspect of various security applications, such as authorization identification in cash …

The face recognition problem is made difficult by the great variability in head rotation and tilt,
lighting intensity and angle, facial expression, aging, partial occlusion (eg Wearing Hats …

The characteristics of human body parts and behaviour are measured with biometrics, which
are used to authenticate a person. In this paper, we propose Hybrid Domain based Face …

This paper presents a novel approach for Human Face Recognition, namely Regularized Bi-
partitioned Entropy Component Analysis (RBECA). This conservative approach regularizes …

In this paper a framework is presented to deals with various aspects of face recognition like
illumination, rotation and scaling. The proposed framework consists of three parts. In the first …

The roles of this paper is to improve the face recognition rate by applying different levels of
discrete wavelet transform (DWT) as to reduce the high dimensional image into a low …

In this work, an extreme learning machine (ELM) has been used in predicting permeability
from well logs data have been investigated and a prediction model has been developed …

Facial expression recognition is an interesting and challenging problem, and found in many
applications like humancomputer interaction (HCI), robotics, video surveillance, border …

This paper proposes a biometric authentication system based on feature level fusion of face
and fingerprint modalities. The proposed method utilizes Gabor filter bank with two scales …