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Found 30 papers, 1 papers with code
Quality Measures in Biometric Systems
Biometric technology has been increasingly deployed in the past decade, offering greater security and convenience than traditional methods of personal recognition.
Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
The cost-sensitive evaluation, on the other hand, investigates how well a fusion algorithm can perform given restricted computation and in the presence of software and hardware failures, resulting in errors such as failure-to-acquire and failure-to-match.
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdoor environments with mobile portable hardware.
A Comparative Study of Fingerprint Image-Quality Estimation Methods
One of the open issues in fingerprint verification is the lack of robustness against image-quality degradation.
BiosecurID: a multimodal biometric database
A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol.
A dataset for multi-sensor drone detection
To counteract the mentioned issues and allow fundamental studies with a common public benchmark, we contribute with an annotated multi-sensor database for drone detection that includes infrared and visible videos and audio files.
A high performance fingerprint liveness detection method based on quality related features
A new software-based liveness detection approach using a novel fingerprint parameterization based on quality related features is proposed.
Iris Recognition Based on SIFT Features
We extract characteristic SIFT feature points in scale space and perform matching based on the texture information around the feature points using the SIFT operator.
Direct attacks using fake images in iris verification
In this contribution, the vulnerabilities of iris-based recognition systems to direct attacks are studied.
Classification of PS and ABS Black Plastics for WEEE Recycling Applications
This work is aimed at creating a system that can classify different types of plastics by using picture analysis, in particular, black plastics of the type Polystyrene (PS) and Acrylonitrile Butadiene Styrene (ABS).
On the Effect of Selfie Beautification Filters on Face Detection and Recognition
Although there is room for improvement, when neither U-NET reconstruction nor training with filtered images is applied, the accuracy with filters that severely occlude the eye is <72% (identification) and >12% (EER)
In-Bed Person Monitoring Using Thermal Infrared Sensors
The world is expecting an aging population and shortage of healthcare professionals.
AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control
This paper describes AI perspectives in SCC and gives an overview of AI-based technologies used in traffic to enable road vehicle automation and smart traffic control.
Facial Masks and Soft-Biometrics: Leveraging Face Recognition CNNs for Age and Gender Prediction on Mobile Ocular Images
Also, the use of mobile devices has exploded, with the pandemic further accelerating the migration to digital services.
Cross-Spectral Periocular Recognition with Conditional Adversarial Networks
Recognition experiments are done using a number of off-the-shelf periocular comparators based both on hand-crafted features and CNN descriptors.
Writer Identification Using Microblogging Texts for Social Media Forensics
With a large number of training Tweets (>500), a good accuracy (Rank-5>80%) is achievable with only a few dozens of test Tweets, even with several thousands of authors.
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms
Accordingly, we address the challenge of developing a lightweight face recognition network of just a few megabytes that can operate with sufficient accuracy in comparison to much larger models.
Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors
Besides the common video and audio sensors, the system also includes a thermal infrared camera, which is shown to be a feasible solution to the drone detection task.
Analytic Signal Phase in $N-D$ by Linear Symmetry Tensor--fingerprint modeling
To that end, a novel multi-scale minutia model where location, direction, and scale of minutia parameters are steerable, without the creation of uncontrollable minutia is also presented.
Detection and Classification of Industrial Signal Lights for Factory Floors
Accordingly, the goal is to develop a solution which can measure the operational state using the input from a video camera capturing a factory floor.
Cloud-Based Face and Speech Recognition for Access Control Applications
This paper describes the implementation of a system to recognize employees and visitors wanting to gain access to a physical office through face images and speech-to-text recognition.
Forensic Authorship Analysis of Microblogging Texts Using N-Grams and Stylometric Features
In this work, we aim at identifying authors of tweet messages, which are limited to 280 characters.
Spectrum Translation for Cross-Spectral Ocular Matching
Cross-spectral verification remains a big issue in biometrics, especially for the ocular area due to differences in the reflected features in the images depending on the region and spectrum used.
Cross-Sensor Periocular Biometrics for Partial Face Recognition in a Global Pandemic: Comparative Benchmark and Novel Multialgorithmic Approach
Experiments are also reported with a database of VIS images from different smartphones.
Improving Automated Latent Fingerprint Identification using Extended Minutia Types
We report significant improvements in the rank identification accuracies when these minutiae matchers are augmented with our proposed algorithm based on rare minutiae features.
Expression Recognition Using the Periocular Region: A Feasibility Study
Periocular is the facial region in the immediate vicinity of the eye.
Fruit and Vegetable Identification Using Machine Learning for Retail Applications
This paper describes an approach of creating a system identifying fruit and vegetables in the retail market using images captured with a video camera attached to the system.
Action and intention recognition of pedestrians in urban traffic
Action and intention recognition of pedestrians in urban settings are challenging problems for Advanced Driver Assistance Systems as well as future autonomous vehicles to maintain smooth and safe traffic.
A Survey on Periocular Biometrics Research
Periocular refers to the facial region in the vicinity of the eye, including eyelids, lashes and eyebrows.
Periocular Recognition Using CNN Features Off-the-Shelf
Periocular refers to the region around the eye, including sclera, eyelids, lashes, brows and skin.
