This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …

The existing multimodal biometric fingerprint and vein deep learning features were found
effective for biometric recognition. However, the current performance of the deep learning …

Contact-based biometric applications primarily use prints from a finger or a palm for a single
instance in different applications. For access control, there is an enrollment process using …

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 …

Accurate retinal vessel segmentation from eye fundus images is a major challenge in
automated methods. U-Net has been widely used in medical image segmentation, and its …

In recent years, as technology has advanced and more and more activities have become
digitized, cybersecurity has become a top priority for governments around the world …

Contact-based biometric applications primarily use prints from a finger or a palm for a single
instance in different applications. For access control, there is an enrollment process using …

Recently, two new emerging biometrics technologies, 2D low-resolution palmprint
recognition technologies, have received wide attention. Numerous methods have been …