A5024106533- Biometric Identification and Security
- Forensic Fingerprint Detection Methods
- Forensic and Genetic Research
- Smart Agriculture and AI
- Remote Sensing in Agriculture
- User Authentication and Security Systems
- Face and Expression Recognition
- Remote Sensing and LiDAR Applications
- Digital Media Forensic Detection
- Face recognition and analysis
- Plant Surface Properties and Treatments
- Horticultural and Viticultural Research
- Cynara cardunculus studies
- Advances in Cucurbitaceae Research
- Date Palm Research Studies
- Plant Pathogens and Resistance
- Powdery Mildew Fungal Diseases
- Insect Pest Control Strategies
- Berry genetics and cultivation research
- Essential Oils and Antimicrobial Activity
- Biological Control of Invasive Species
- Electrohydrodynamics and Fluid Dynamics
- Human Pose and Action Recognition
- Land Use and Ecosystem Services
- Coconut Research and Applications
University of Sassari
2020-2024
University of Cagliari
2012-2019
A spoof or fake is a counterfeit biometric that used in an attempt to circumvent sensor Liveness detection distinguishes between live and traits. based on the principle additional information can be garnered above beyond data procured by standard verification system, this verify if measure authentic. The Fingerprint Detection Competition (LivDet) goal compare both software-based (Part 1) hardware-based 2) fingerprint liveness methodologies open all academic industrial institutions....
"Liveness detection", a technique used to determine the vitality of submitted biometric, has been implemented in fingerprint scanners recent years. The goal for LivDet 2011 competition is compare software-based liveness detection methodologies (Part 1), as well systems which incorporate capabilities 2), using standardized testing protocol and large quantities spoof live images. This was open all academic industrial institutions have solution either or system-based problem. Five submissions...
Recent experiments, reported in the third edition of Fingerprint Liveness Detection competition (LivDet 2013), have clearly shown that fingerprint liveness detection is a very difficult and challenging task. Although number approaches large, none them can be claimed as able to detect traits with an acceptable error rate. In our opinion, order investigate at which extent this reduced, novel feature sets must proposed, and, eventually, integrated existing ones. paper, descriptor named "BSIF"...
A spoof or fake is a counterfeit biometric that used in an attempt to circumvent sensor. Liveness detection distinguishes between live and traits. based on the principle additional information can be garnered above beyond data procured by standard authentication system, this determine if measure authentic. The Fingerprint Detection Competition (LivDet) goal compare both software-based hardware-based fingerprint liveness methodologies. competition open all academic industrial institutions....
Fingerprint Presentation Attack Detection (FPAD) deals with distinguishing images coming from artificial replicas of the fingerprint characteristic, made up materials like silicone, gelatine or latex, and alive fingerprints. Images are captured by modern scanners, typically relying on solid-state optical technologies. Since 2009, Liveness Competition (LivDet) aims to assess performance state-of-the-art algorithms according a rigorous experimental protocol and, at same time, simple overview...
The International Fingerprint liveness Detection Competition (LivDet) is an open and well-acknowledged meeting point of academies private companies that deal with the problem distinguishing images coming from reproductions fingerprints made artificial materials relative to real fingerprints. In this edition LivDet we invited competitors propose integrated algorithms matching systems. goal was investigate at which extent integration impact on whole performance. Twelve were submitted...
An early estimation of the exact number fruits, flowers, and trees helps farmers to make better decisions on cultivation practices, plant disease prevention, size harvest labor force. The current practice yield based manual counting fruits or flowers by workers is a time consuming expensive process it not feasible for large fields. Automatic robotic agriculture provides viable solution in this regard. In typical image classification process, task only specify presence absence given object...
Abstract In the context of increasing global food demand and urgent need for production processes optimization, plant protection products play a key role in safeguarding crops from insects, pests, fungi, responsible diseases proliferation yield losses. Despite inaccurate distribution conventional aerial spraying performed by airplanes helicopters, Unmanned Aerial Spraying Systems (UASSs) offer low health risks operational cost solutions, preserving soil physical damage. This study explores...
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The problem of fingerprint liveness detection has received an increasing attention in the last decade, as attested by organisation three editions international competition, named LivDet, dedicated to this challenge. LivDet and other works literature showed that performance current algorithms is not good enough allow empowering a verification system with module aimed distinguish alive from fake images. However, recent developments have shown texture-based features can provide promising...
Input optimization is a distinguishing characteristic of Precision Agriculture approaches, helping reduce the environmental impact and costs increase vegetable production quality. Thanks to high automation evolution Unmanned Aerial Systems (UAS), new approach derived from their combination with Deep Learning techniques leading significant improvements in agricultural management practices. The study aims at artichoke plants detection georeferencing as first step for an on-the-fly, real time,...
The aim of fingerprint liveness detection is to detect if a image, sensed by an electronic device, belongs alive fingertip or artificial replica it. It well-known that can be replicated and standard sensors cannot distinguish between image. Accordingly, several countermeasures in terms algorithms have been proposed, but their performance not yet acceptable. However, no works studied the possibility combining different feature sets, thus exploiting eventual complementarity among them. In this...
In the field of veterinary medicine, detection parasite eggs in fecal samples livestock animals represents one most challenging tasks, since their spread and diffusion may lead to severe clinical disease. Nowadays, scanning procedure is typically performed by physicians with professional microscopes requires a significant amount time, domain knowledge, resources. The Kubic FLOTAC Microscope (KFM) compact, low-cost, portable digital microscope that can autonomously analyze specimens for...
The present study illustrates an operational approach estimating individual and aggregate vineyards’ canopy volume estimation through three years Tree-Row-Volume (TRV) measurements remotely sensed imagery acquired with unmanned aerial vehicle (UAV) Red-Green-Blue (RGB) digital camera, processed MATLAB scripts, validated ArcGIS tools. TRV methodology was applied by sampling a different number of rows plants (per row) each year the aim evaluating reliability accuracy this technique compared...
Scientific literature lacks of countermeasures specifically for fingerprint presentation attacks (PAs) realized with non-cooperative methods; even though, in realistic scenarios, it is unlikely that individuals would agree to duplicate their fingerprints. For example, replicas can be created from finger marks left on a surface without the person's knowledge. Existing anti-spoofing mechanisms are trained detect cooperation user and assumed able identify spoofs as well. In this regard, latent...
The usual trend for the conventional palmvein recognition techniques is first to extract discriminative hand-crafted feature representations from raw images, and then feed a classifier with them. Unfortunately, it not yet clear how effectiveness of such features may be held in case large user population or environments where variability among acquisitions same person increase. In order face this problem, considered that use multiple classifiers increase performance respect best individual...