Fingerprints are the oldest and most widely used form of biometric identification. Everyone is
known to have unique, immutable fingerprints. As most Automatic Fingerprint Recognition …

Latent fingerprint identification is such a difficult task to law enforcement agencies and
border security in identifying suspects. It is a too complicate due to poor quality images with …

Fingerprint matching, spoof mitigation and liveness detection are the trendiest biometric
techniques, mostly because of their stability through life, uniqueness and their least risk of …

In this paper, we present a novel application of type-2 fuzzy logic to the design of an image
processing operator called an impulse detector. The type-2 fuzzy logic based impulse …

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 …

Hazy conditions, which are one of the most deleterious atmospheric scenarios, deteriorate
the accuracy of autonomous vision systems during underwater, ground, and aerial …

Fuzzy set theory originates to a great extent of interest among the researchers in past
decades. It is a key tool to handle the imperfect of information in the diverse field. Typically, it …

Latent fingerprints are acquired from crime places which are utilized to distinguish suspects
in crime inspection. In general, latent fingerprints contain mysterious ridge and valley …

Contrast enhancement is the focus of this paper namely use of digital for medical imaging.
Five types of images were analysed, namely hand, brain, head, ankle and knee. Three …

Fingerprints are the most widely used parameter for personal identification amongst all
biometrics based personal authentication systems. As most Automatic Fingerprint …