Advances in the field of Information Technology also make Information Security an
inseparable part of it. In order to deal with security, Authentication plays an important role …

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 …

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 …

对自动指纹识别系统(automated fingerprint identification system, 简称AFIS) 的两个重要问题——
指纹图像增强和细节匹配进行研究, 给出了一种基于方向场的指纹图像增强算法, 对Anil Jain …

Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …

In order to ensure that the performance of an automatic fingerprint identification/verification
system will be robust with respect to the quality of input fingerprint images, it is essential to …

Finger-vein biometrics has been extensively investigated for personal verification. Despite
recent advances in finger-vein verification, current solutions completely depend on domain …

A biometric system is vulnerable to a variety of attacks aimed at undermining the integrity of
the authentication process. These attacks are intended to either circumvent the security …

Biometrics-based personal identification is regarded as an effective method for automatically
recognizing, with a high confidence, a person's identity. This paper presents a new biometric …

Minutiae extraction is of critical importance in automated fingerprint recognition. Previous
works on rolled/slap fingerprints failed on latent fingerprints due to noisy ridge patterns and …