Deep learning applies multiple processing layers to learn representations of data with
multiple levels of feature extraction. This emerging technique has reshaped the research …

Any computer vision application development starts off by acquiring images and data, then
preprocessing and pattern recognition steps to perform a task. When the acquired images …

Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Various hand-crafted features and metric learning methods prevail in the field of person re-
identification. Compared to these methods, this paper proposes a more general way that can …

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 capacity to recognize faces under varied poses is a fundamental human ability that
presents a unique challenge for computer vision systems. Compared to frontal face …

Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

Designing reliable user authentication on mobile phones is becoming an increasingly
important task to protect users' private information and data. Since biometric approaches can …

Face recognition with large pose and illumination variations is a challenging problem in
computer vision. This paper addresses this challenge by proposing a new learningbased …

Smartphones and tablets have become ubiquitous in our daily lives. Smartphones, in
particular, have become more than personal assistants. These devices have provided new …