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

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 …

With the development of high-resolution fingerprint scanners, high-resolution fingerprint-
based biometric recognition has received increasing attention in recent years. This paper …

This paper proposes an effective pore representation descriptor based on Convolutional
Neural Networks (CNNs). We make full use of the diversity and large quantities of sweat …

Pore-based fingerprint recognition has become more attractive in recent years because of its
uniqueness and difficulty in forgeability. However, most of the existing methods use pore …

The huge number of sweat pores in fingerprint images results in low efficiency of direct pore
(DP) matching methods. To overcome this drawback, this paper proposes a feature guided …

The public demand for personal safety is increasing rapidly. Fingerprint features as the most
commonly used bio-signature need to improve their safety continuously. The third level …

Sweat pores have been proved to be discriminative and successfully used for automatic
fingerprint recognition. It is crucial to extract pores precisely to achieve high recognition …

High-resolution fingerprint recognition often relies on sophisticated matching algorithms
based on hand-crafted keypoint descriptors, with pores being the most common keypoint …

Public access to existing high‐resolution databases was discontinued. Besides, a hybrid
database that contains fingerprints of different sensors with high and medium resolutions …