As a popular living fingerprint feature, sweat pore has been adopted to build robust high
resolution automated fingerprint recognition systems (AFRSs). Pore matching is an …

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

In the environment of Internet of Things, the convolutional neural network (CNN) is an
important tool and method of image classification. However, the features that are extracted …

Generative Adversarial Networks (GAN) are being increasingly used to perform face aging
due to their capabilities of automatically generating highly-realistic synthetic images by …

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 …

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

Biometric systems based on touchless and less-constrained palmprint are being
increasingly studied since they allow a favorable trade-off between high-accuracy and high …

Abstract Sweat pore, one of the level 3 features of fingerprint, has attracted much attention in
fingerprint recognition. Traditional sweat pores on surface fingerprint are unclear or blurred …

Developing new materials that could identify fingerprint using the naked eye and observe
the level 3 microscopic details is challenging. Here, we designed a novel hydrochromic and …

Latent fingerprint identification is the most prevalent process used by the forensic community
from a long time. Smudgy, blurred, and small fingerprint area of the latent impressions …