Vein recognition usually uses binary features, but besides deep learning-based approaches key-point and minutiae-based ones started to become popular as well. Statistical measures for vein minutiae points, like spatial point distribution, have not been investigated in literature so far. In this work the number of vein ...

Over the last 50 years, biometric recognition has advanced from localized “identity verification” applications [GU77][RY74] to include large-scale systems in which “a determination is made as to the identity of an individual independently of any information supplied by the individual” [GU77]. Models for estimating and ...

Bloom filter (BF) and homomorphic encryption (HE) are popular modern techniques used to design biometric template protection (BTP) schemes that aim to protect the sensitive biometric information during storage and the comparison process. However, in practice, many BTP schemes based on BF or HE violate at least one of the ...

Contactless fingerprinting devices have grown in popularity in recent years due to speed and convenience of capture. Also, due to the global COVID-19 pandemic, the need for safe and hygienic options for fingerprint capture are more pressing than ever. However, contactless systems face challenges in the areas of ...

The field of Vascular Biometric Recognition has drawn a lot of attention recently with the emergence of new computer vision techniques. The different methods using Deep Learning involve a new understanding of deeper features from the vascular network. The specific architecture of the veins needs complex model capable of ...

Face morphing poses high security risk, which motivates the work on detection algorithms, as well as on anticipating novel morphing approaches. Using the statistical and perceptual image quality of morphed images in previous works has shown no clear correlation between the image quality and the realistic appearance. This ...

Fingermark quality assessment is an important step in a forensic fingerprint identification process. Often done in the scope of criminal investigation, it is performed by trained fingerprint examiners whose quality assessment can be rather subjective. The goal of this work is to develop an automated fingermark quality ...

The paper explains how the definition of biometric data copied from the GDPR may hamper the regulation of emotion recognition—as defined in the proposed AI Act. A replicated definition of biometric data is suitable for biometric systems, but not emotion recognition technologies. It is because, under the proposed AI Act, ...

This paper developed a method for performing Image Quality Assessment (IQA) on ID-Card images. First, we build the dataset, consisting of 204 images from Chilean ID-Cards, containing real and tampered images with varying quality levels. Then, we evaluated different features, obtaining the best results using the BRISQUE ...

The use of deep learning methods to extract vascular biometric patterns from the palm surface has been of interest among researchers in recent years. In many biometric recognition tasks, there is a limit in the number of training samples. This is because of limited vein biometric databases being available for research. ...