Extant literature has highlighted the vulnerability of Automatic Fingerprint Identification
System (AFIS) to various forms of attacks, indicating presentation attack as the most …

With the advancement of multimedia and digital technology, traditional vehicles are
gradually replaced by intelligent ones. As people attach increasing importance to …

Currently, fingerprint authentication systems in mobile devices, which have limited-size
fingerprint sensors, are mainly based on partial fingerprint matching algorithms. To cover all …

As the Level 3 features of fingerprint, sweat pores have attracted attention in the field of
fingerprint recognition and have been successfully applied to automatic fingerprint …

Background Poroscopy, as a means of personal identification, is largely unexplored. The
present study aims at assessing the reproducibility of fingerprint microfeatures namely, pore …

Abstract Machine learning (ML) techniques are part of artificial intelligence. ML involves
imitating human behavior in solving different problems, such as object detection, text …

Degraded skin conditions and advanced forgery technologies have reduced the stability and
security of identity authentication based on external biometrics of the fingertip, including …

Current high-resolution fingerprints are almost entirely represented by sweat pores, resulting
in information loss and weak robustness. This is caused by dividing fingerprint …

This chapter introduces classical domain knowledge-based and emerging learning-based
techniques for feature extraction in fingerprints. Specific sections are dedicated to explain …

This work presents the first survey on fingerprint pore detection. The survey provides a
general overview of the field and discusses methods, datasets, and evaluation protocols. We …