Minutia-based palmprint recognition systems has got lots of interest in last two decades. Due
to the large number of minutiae in a palmprint, approximately 1000 minutiae, the matching …

Using the palmprint in recognition systems has received a lot of interest during the last two
decades. Some of these systems are based on first‐level features, such as the existing lines …

Palmprint is an essential biometrics for personal identification, especially in forensic security.
Due to the large valid region of palmprint, palmprint recognition is very time-consuming. Fast …

Palmprint recognition is a variant of fingerprint matching as both the systems share almost
similar matching criteria and the minutiae feature extraction methods. However, there is a …

Palmprints have gained enormous popularity in the biometric industry recently. Due to the
large amount of information provided by the palmprints and their forensic value, many large …

Palmprint has attracted increasing attention due to its several advantages in the biometrics
field. Deep learning has achieved remarkable performance in the computer vision area, so a …

Extracting effective minutiae is difficult for high-resolution palmprint, because of the strong
influence from principal lines, creases, and other noises. In this paper, a novel minutiae …

Palmprint recognition, as one of the current biometric technologies, has received extensive
attention and research. There are difficulties in the traditional artificially defined feature when …

A palmprint generally possesses about 10 times more minutiae features than a fingerprint,
which could provide reliable biometric-based personal authentication. However, wide …

In recent years, researchers have carried out palmprint recognition study based on deep
learning, and proposed a variety of methods based on deep learning. In these methods …