The lack of resolution of imaging systems has critically adverse impacts on the recognition
and performance of biometric systems, especially in the case of long range biometrics and …

Video super-resolution is currently one of the most active research topics in computer vision
as it plays an important role in many visual applications. Generally, video super-resolution …

Sparse representation classification (SRC) is one of the popular methods of classification in
biometrics, in which the decision of class for the test sample was based on the class with …

With the improvement of informatization and the development of computer technology,
identity recognition with fingerprint has been the growing trend, but the stained fingerprint …

Fingerprint is a most common and broadly accepted biometric trait used for personal
authentication. In fingerprint-based authentication, the feature extraction module extract …

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

This study presents a new method for enhancing fingerprint image. The process of the
enhancement is divided into two phases: fingerprint is first enhanced using Gabor filtering …

Fingerprint enhancement plays a very important role in automatic fingerprint identification
system. In order to ensure reliable fingerprint identification and improve fingerprint ridge …

Some biometrics methods, especially ocular, may use fine spatial information akin to level-3
features. Examples include fine vascular patterns visible in the white of the eyes in green …

The identification of low-resolution fingerprints has always been one of the focuses in the
field of biometric identification. This paper proposes a method for super-resolving low …