Deep Learning algorithms (DL) have been applied in different domains such as computer
vision, image detection, robotics and speech processing, in most cases, DL demonstrated …

Background Latent fingerprints are the unintentional impressions that are left at crime
scenes, which are considered to be highly significant in forensic analysis and authenticity …

In this study, we present a robust and efficient fingerprint image restoration algorithm using
the nonlocal Cahn–Hilliard (CH) equation, which was proposed for modeling the …

In this paper, we propose a blind Gaussian denoising network that utilize the features of the
input image and its negative for generating denoised output of the same. The proposed …

Breast cancer is one of the most prevalent cancers in women. Reliable pathology
identification can help histopathologists make accurate diagnosis of breast cancer but …

Despite being reliable, palmprints have not received as much attention as other biometrics
such as fingerprints, face or iris. Amount of information provided by high resolution …

In this work, it was proposed to compress the color image after de-noise by proposing a
coding for the discrete transport of new wavelets called discrete chebysheve wavelet …

The state-of-the-art fingerprint matching systems achieve high accuracy on good quality
fingerprints. However, degraded fingerprints obtained due to poor skin conditions of subjects …

While working with fingerprint images acquired from crime scenes, mobile cameras, or low-
quality sensors, it becomes difficult for automated identification systems to verify the identity …

Fingerprint recognition is widely used in daily life. However, the physiological phenomena of
human can still fail recognition under dry and low temperature conditions. We present two …