In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …

Iris image-based biometric systems are commonly used in applications that demand
security, authentication, recognition and faster login access. In solving these real-time …

The recent widespread development of connected sensors, cloud, big data analytics, and
ubiquitous sensing technologies have facilitated cognitive Internet of things (CIoT) and its …

This paper proposes a facial expression recognition algorithm that automatically detects the
facial image contained in a color picture and segments it in two regions of interest (ROI) …

The liver is a vital human body organ and its functionality can be degraded by several
diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early …

In this paper, an efficient iris recognition algorithm is presented based on features extracted
from Integer Wavelet Transform (IWT). At first, for proficient iris region localization and …

Highlights•BoF model is proposed for classification of sweet and bitter almonds.•Five
keypoint detectors and a SIFT descriptor were applied in the model.•Size of visual words …

Depth sequences are useful for action recognition since they are insensitive to illumination
variation and provide geometric information. Many current action recognition methods are …

Iris recognition is a secure and best-chosen biometric application in the digital world
because of its unique characteristics. Day by day, the digital world plays a significant role in …