Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …

The convolutional neural network (CNN) has been widely used in image recognition field
due to its good performance. This paper proposes a facial expression recognition method …

Face recognition under adverse conditions, such as low-resolution, difficult illumination, blur
and noise remains a challenging task. Among existing face recognition methods, Gabor …

Cancer of blood, more specifically known as Leukemia, is a deadly disease that is
responsible for the abnormal proliferation of immature white blood cells in bone marrow …

Every human being has a different electro-cardio-graphy (ECG) waveform that provides
information about the well being of a human heart. Therefore, ECG waveform can be used …

Digital image processing is a technique for visually analyzing images that can be
manipulated using different approaches. It can also be used to improve image quality and …

Image classification (categorization) can be considered as one of the most breathtaking
domains of contemporary research. Indeed, people cannot hide their faces and related …

The Bayesian classification is one of the frequently used approaches in machine learning.
This approach obtains probabilities based on attributes of classes using Bayes' theorem and …

Over the last two decades, face recognition (FR) has become one of the most prevailing
biometric applications for effective people identification as it offers practical advantages over …

Light variations from different directions on the face images cause severe performance
degradation in face recognition system. These variations should be nullified or suppressed …