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Paolo Pisciella - IEEE Xplore Author Profile

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Author details

Paolo Pisciella

Publications

3

Citations

10

Publications by Year

20182021

Co-Authors:

Lilia ConsiglioFederica DavòHossein FarahmandGüray KaraDiana Moneta

Show All Co-Authors (11)

Paolo Pisciella

Affiliation

Department of Industrial Economics and Technology Management

Norwegian University of Science and Technology

Trondheim, Norway

Publication Topics

Distribution Network,
Distribution System Operator,
Nonlinear Programming,
Optimal Power Flow,
Transmission System Operator,
Account In Order,
Active Distribution Networks,
Activity Time,
Amount Of Electricity,
Amount Of Flexibility,
Baseline Case,
Bid Price

Biography

Paolo Pisciella received the Ph.D. degree in managerial economics, finance and operations research from the Norwegian University of Science and Technology (NTNU). He is currently a Researcher with the Department of Industrial Economics and Technology Management, NTNU. His research interests include computable general equilibrium modeling, stochastic programming, bilevel programming, and optimization algorithms with applications in power distribution. His current research interests include the macroeconomic impact of the green transition and on applications of optimal power flow analysis.(Based on document published on 3 June 2021).

Publications

3

Citations

10

Publications by Year

20182021

Co-Authors:

Lilia Consiglio
Federica Davò
Hossein Farahmand
Güray Kara
Diana Moneta

Show All Co-Authors (11)

Author's Published Works

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Showing 1-25 of 44 results

Conferences (34)

Journals (10)

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Marta Gomez-Barrero(40)
Christoph Busch(28)
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da/sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany(7)
Hochschule Ansbach, Germany(6)
Hochschule Ansbach, Ansbach, Germany(5)
Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany(5)
European Commission - Joint Research Centre, Inst. for the Protection and Security of the Citizen(3)
IEEE Biometrics Compendium(8)
IEEE Access(5)
IEEE RFIC Virtual Journal(4)
IEEE RFID Virtual Journal(4)
2018 International Conference of the Biometrics Special Interest Group (BIOSIG)(3)
IEEE(44)
Media(1)
Darmstadt, Germany(8)
Coventry, UK(2)
Crete, Greece(2)
Limassol, Cyprus(2)
New York, NY, USA(2)
Biometric Systems(25)
Presentation Attack(15)
Support Vector Machine(15)
Face Recognition(14)
Presentation Attack Detection(14)

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Toward Generalizable Facial Presentation Attack Detection Based on the Analysis of Facial Regions

Lazaro Janier Gonzalez-Soler;Marta Gomez-Barrero;Christoph Busch

Year: 2023 | Volume: 11 | Journal Article |

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In the last decade, breakthroughs in the field of deep learning have led to the development of powerful presentation attack detection (PAD) algorithms which reported reliable performance across different realistic scenarios. Typically, most of these techniques analyse the full face to detect attack presentations (APs), ignoring that the attributes or artefacts produced in the fabrication of the at...Show More

Toward Generalizable Facial Presentation Attack Detection Based on the Analysis of Facial Regions

Lazaro Janier Gonzalez-Soler;Marta Gomez-Barrero;Christoph Busch

Year: 2023 | Volume: 11 | Journal Article |

When Facial Recognition Systems become Presentation Attack Detectors

Lazaro J. Gonzalez-Soler;Kevin Abadi Barhaugen;Marta Gomez-Barrero;Christoph Busch

2022 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2022 | Conference Paper |

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Recently, biometric systems (BSs) have experienced a broad development mainly due to the great success of deep learning approaches. Generally, most BS provide high security and efficiency. However, they are still vulnerable to attack presentations (APs). To overcome such security issues, these schemes include a Presentation Attack Detection (PAD) module which determines whether the input sample st...Show More

When Facial Recognition Systems become Presentation Attack Detectors

Lazaro J. Gonzalez-Soler;Kevin Abadi Barhaugen;Marta Gomez-Barrero;Christoph Busch

2022 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2022 | Conference Paper |

Biometrics in the Era of COVID-19: Challenges and Opportunities

Marta Gomez-Barrero;Pawel Drozdowski;Christian Rathgeb;Jose Patino;Massimiliano Todisco;Andreas Nautsch;Naser Damer;Jannier Priesnitz;Nicholas Evans;Christoph Busch

IEEE Transactions on Technology and Society

Year: 2022 | Volume: 3, Issue: 4 | Journal Article |

Cited by: Papers (38)

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Since early 2020, the COVID-19 pandemic has had a considerable impact on many aspects of daily life. A range of different measures have been implemented worldwide to reduce the rate of new infections and to manage the pressure on national health services. A primary strategy has been to reduce gatherings and the potential for transmission through the prioritisation of remote working and education. ...Show More

Biometrics in the Era of COVID-19: Challenges and Opportunities

Marta Gomez-Barrero;Pawel Drozdowski;Christian Rathgeb;Jose Patino;Massimiliano Todisco;Andreas Nautsch;Naser Damer;Jannier Priesnitz;Nicholas Evans;Christoph Busch

IEEE Transactions on Technology and Society

Year: 2022 | Volume: 3, Issue: 4 | Journal Article |

Selfie Periocular Verification Using an Efficient Super-Resolution Approach

Juan E. Tapia;Andres Valenzuela;Rodrigo Lara;Marta Gomez-Barrero;Christoph Busch

Year: 2022 | Volume: 10 | Journal Article |

Cited by: Papers (8)

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Selfie-based biometrics has great potential for a wide range of applications since, e.g. periocular verification is contactless and is safe to use in pandemics such as COVID-19, when a major portion of a face is covered by a facial mask. Despite its advantages, selfie-based biometrics presents challenges since there is limited control over data acquisition at different distances. Therefore, Super-...Show More

Selfie Periocular Verification Using an Efficient Super-Resolution Approach

Juan E. Tapia;Andres Valenzuela;Rodrigo Lara;Marta Gomez-Barrero;Christoph Busch

Year: 2022 | Volume: 10 | Journal Article |

Privacy-Preserving Convolutional Neural Networks Using Homomorphic Encryption

Tatjana Wingarz;Marta Gomez-Barrero;Christoph Busch;Mathias Fischer

2022 International Workshop on Biometrics and Forensics (IWBF)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

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Convolutional neural networks (CNNs) are most commonly used for handling complex visual tasks. Due to the significant effort in training accurate machine learning models, training and providing them to clients for inference in the cloud is becoming more popular. However, such models might be trained on sensitive user data, leading to the need for privacy-protecting measures. While traditional cryp...Show More

Privacy-Preserving Convolutional Neural Networks Using Homomorphic Encryption

Tatjana Wingarz;Marta Gomez-Barrero;Christoph Busch;Mathias Fischer

2022 International Workshop on Biometrics and Forensics (IWBF)

Year: 2022 | Conference Paper |

Dual-Stream Temporal Convolutional Neural Network for Voice Presentation Attack Detection

Lazaro J. Gonzalez-Soler;Marta Gomez-Barrero;Madhu Kamble;Massimiliano Todisco;Christoph Busch

2022 International Workshop on Biometrics and Forensics (IWBF)

Year: 2022 | Conference Paper |

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Improving the robustness of biometric systems to external attacks is of the utmost importance for the research community. In particular, Automatic Speaker Verification (ASV) can be easily bypassed by launching either attack presentations (i.e., physical access attacks) over the capture devices (i.e., micro-phone) or exchanging the input sample in the channel between the capture device and the sign...Show More

Dual-Stream Temporal Convolutional Neural Network for Voice Presentation Attack Detection

Lazaro J. Gonzalez-Soler;Marta Gomez-Barrero;Madhu Kamble;Massimiliano Todisco;Christoph Busch

2022 International Workshop on Biometrics and Forensics (IWBF)

Year: 2022 | Conference Paper |

Differential Anomaly Detection for Facial Images

M. Ibsen;L. J. Gonzalez-Soler;C. Rathgeb;P. Drozdowski;M. Gomez-Barrero;C. Busch

2021 IEEE International Workshop on Information Forensics and Security (WIFS)

Year: 2021 | Conference Paper |

Cited by: Papers (9)

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Due to their convenience and high accuracy, face recognition systems are widely employed in governmental and personal security applications to automatically recognise individuals. Despite recent advances, face recognition systems have shown to be particularly vulnerable to identity attacks (i.e., digital manipulations and attack presentations). Identity attacks pose a big security threat as they c...Show More

Differential Anomaly Detection for Facial Images

M. Ibsen;L. J. Gonzalez-Soler;C. Rathgeb;P. Drozdowski;M. Gomez-Barrero;C. Busch

2021 IEEE International Workshop on Information Forensics and Security (WIFS)

Year: 2021 | Conference Paper |

Anomaly Detection With Convolutional Autoencoders for Fingerprint Presentation Attack Detection

Jascha Kolberg;Marcel Grimmer;Marta Gomez-Barrero;Christoph Busch

IEEE Transactions on Biometrics, Behavior, and Identity Science

Year: 2021 | Volume: 3, Issue: 2 | Journal Article |

Cited by: Papers (24)

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In recent years, the popularity of fingerprint-based biometric authentication systems significantly increased. However, together with many advantages, biometric systems are still vulnerable to presentation attacks (PAs). In particular, this applies for unsupervised applications, where new attacks unknown to the system operator may occur. Therefore, presentation attack detection (PAD) methods are u...Show More

Anomaly Detection With Convolutional Autoencoders for Fingerprint Presentation Attack Detection

Jascha Kolberg;Marcel Grimmer;Marta Gomez-Barrero;Christoph Busch

IEEE Transactions on Biometrics, Behavior, and Identity Science

Year: 2021 | Volume: 3, Issue: 2 | Journal Article |

Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks

Lázaro Janier González-Soler;Marta Gomez-Barrero;Leonardo Chang;Airel Pérez-Suárez;Christoph Busch

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (37)

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Fingerprint-based biometric systems have experienced a large development in the past. In spite of many advantages, they are still vulnerable to attack presentations (APs). Therefore, the task of determining whether a sample stems from a live subject (i.e., bona fide) or from an artificial replica is a mandatory requirement which has recently received a considerable attention. Nowadays, when the ma...Show More

Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks

Lázaro Janier González-Soler;Marta Gomez-Barrero;Leonardo Chang;Airel Pérez-Suárez;Christoph Busch

Year: 2021 | Volume: 9 | Journal Article |

Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking

Kiran Raja;Matteo Ferrara;Annalisa Franco;Luuk Spreeuwers;Ilias Batskos;Florens de Wit;Marta Gomez-Barrero;Ulrich Scherhag;Daniel Fischer;Sushma Krupa Venkatesh;Jag Mohan Singh;Guoqiang Li;Loïc Bergeron;Sergey Isadskiy;Raghavendra Ramachandra;Christian Rathgeb;Dinusha Frings;Uwe Seidel;Fons Knopjes;Raymond Veldhuis;Davide Maltoni;Christoph Busch

IEEE Transactions on Information Forensics and Security

Year: 2021 | Volume: 16 | Journal Article |

Cited by: Papers (56)

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Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as independent benchmarking, generalizability challenges and considerations to age, gender, ethnicity that are inadequately addressed. Morphing Attack Detection (MAD) algorithms often are prone to generalization challenges as th...Show More

Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking

Kiran Raja;Matteo Ferrara;Annalisa Franco;Luuk Spreeuwers;Ilias Batskos;Florens de Wit;Marta Gomez-Barrero;Ulrich Scherhag;Daniel Fischer;Sushma Krupa Venkatesh;Jag Mohan Singh;Guoqiang Li;Loïc Bergeron;Sergey Isadskiy;Raghavendra Ramachandra;Christian Rathgeb;Dinusha Frings;Uwe Seidel;Fons Knopjes;Raymond Veldhuis;Davide Maltoni;Christoph Busch

IEEE Transactions on Information Forensics and Security

Year: 2021 | Volume: 16 | Journal Article |

An Efficient Super-Resolution Single Image Network using Sharpness Loss Metrics for Iris

Juan Tapia;Marta Gomez-Barrero;Christoph Busch

2020 IEEE International Workshop on Information Forensics and Security (WIFS)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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Most of the state of the art super-resolution methods use deep networks with large filter sizes. Therefore, they need to train and store a correspondingly large number of parameters, thereby making their use difficult for mobile devices applications such as recognition of individuals from selfie images. To achieve an efficient super-resolution method, we propose an Efficient Single Image Super-Res...Show More

An Efficient Super-Resolution Single Image Network using Sharpness Loss Metrics for Iris

Juan Tapia;Marta Gomez-Barrero;Christoph Busch

2020 IEEE International Workshop on Information Forensics and Security (WIFS)

Year: 2020 | Conference Paper |

Texture-based Presentation Attack Detection for Automatic Speaker Verification

Lazaro J. Gonzalez-Soler;Jose Patino;Marta Gomez-Barrero;Massimiliano Todisco;Christoph Busch;Nicholas Evans

2020 IEEE International Workshop on Information Forensics and Security (WIFS)

Year: 2020 | Conference Paper |

Cited by: Papers (2)

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Biometric systems are nowadays employed across a broad range of applications. They provide high security and efficiency and, in many cases, are user friendly. Despite these and other advantages, biometric systems in general and Automatic speaker verification (ASV) systems in particular can be vulnerable to attack presentations. The most recent ASVSpoof 2019 competition showed that most forms of at...Show More

Texture-based Presentation Attack Detection for Automatic Speaker Verification

Lazaro J. Gonzalez-Soler;Jose Patino;Marta Gomez-Barrero;Massimiliano Todisco;Christoph Busch;Nicholas Evans

2020 IEEE International Workshop on Information Forensics and Security (WIFS)

Year: 2020 | Conference Paper |

Analysing the Performance of LSTMs and CNNs on 1310 nm Laser Data for Fingerprint Presentation Attack Detection

Jascha Kolberg;Alexandru-Cosmin Vasile;Marta Gomez-Barrero;Christoph Busch

2020 IEEE International Joint Conference on Biometrics (IJCB)

Year: 2020 | Conference Paper |

Cited by: Papers (2)

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Due to the wide operational deployment of biometric recognition systems, presentation attacks targeting the capture device have become a severe threat. Especially for fingerprint recognition, a high number of different materials allows the creation of numerous presentation attack instruments (PAIs) in the form of full fake fingers and fingerprint overlays, which very much resemble the skin propert...Show More

Analysing the Performance of LSTMs and CNNs on 1310 nm Laser Data for Fingerprint Presentation Attack Detection

Jascha Kolberg;Alexandru-Cosmin Vasile;Marta Gomez-Barrero;Christoph Busch

2020 IEEE International Joint Conference on Biometrics (IJCB)

Year: 2020 | Conference Paper |

Fisher Vector Encoding of Dense-BSIF Features for Unknown Face Presentation Attack Detection

Lazaro J. Gonzalez-Soler;Marta Gomez-Barrero;Christoph Busch

2020 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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The task of determining whether a sample stems from a real subject (i.e, it is a bona fide presentation) or it comes from an artificial replica (i.e., it is an attack presentation) is a mandatory requirement for biometric capture devices, which has received a lot of attention in the recent past. Nowadays, most face Presentation Attack Detection (PAD) approaches have reported a good detection perfo...Show More

Fisher Vector Encoding of Dense-BSIF Features for Unknown Face Presentation Attack Detection

Lazaro J. Gonzalez-Soler;Marta Gomez-Barrero;Christoph Busch

2020 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2020 | Conference Paper |

Efficiency Analysis of Post-quantum-secure Face Template Protection Schemes based on Homomorphic Encryption

Jascha Kolberg;Pawel Drozdowski;Marta Gomez-Barrero;Christian Rathgeb;Christoph Busch

2020 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2020 | Conference Paper |

Cited by: Papers (9)

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Since biometric characteristics are not revocable and biometric data is sensitive, privacy-preserving methods are essential to operate a biometric recognition system. More precisely, the biometric information protection standard ISO/IEC IS 24745 requires that biometric templates are stored and compared in a secure domain. Using homomorphic encryption (HE), we can ensure permanent protection since ...Show More

Efficiency Analysis of Post-quantum-secure Face Template Protection Schemes based on Homomorphic Encryption

Jascha Kolberg;Pawel Drozdowski;Marta Gomez-Barrero;Christian Rathgeb;Christoph Busch

2020 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2020 | Conference Paper |

Biometric Presentation Attack Detection: Beyond the Visible Spectrum

Ruben Tolosana;Marta Gomez-Barrero;Christoph Busch;Javier Ortega-Garcia

IEEE Transactions on Information Forensics and Security

Year: 2020 | Volume: 15 | Journal Article |

Cited by: Papers (72)

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The increased need for unattended authentication in multiple scenarios has motivated a wide deployment of biometric systems in the last few years. This has in turn led to the disclosure of security concerns specifically related to biometric systems. Among them, presentation attacks (PAs, i.e., attempts to log into the system with a fake biometric characteristic or presentation attack instrument) p...Show More

Biometric Presentation Attack Detection: Beyond the Visible Spectrum

Ruben Tolosana;Marta Gomez-Barrero;Christoph Busch;Javier Ortega-Garcia

IEEE Transactions on Information Forensics and Security

Year: 2020 | Volume: 15 | Journal Article |

Template Protection based on Homomorphic Encryption: Computationally Efficient Application to Iris-Biometric Verification and Identification

Jascha Kolberg;Pia Bauspieß;Marta Gomez-Barrero;Christian Rathgeb;Markus Dürmuth;Christoph Busch

2019 IEEE International Workshop on Information Forensics and Security (WIFS)

Year: 2019 | Conference Paper |

Cited by: Papers (16)

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When employing biometric recognition systems, we have to take into account that biometric data are considered sensitive data. This has raised some privacy issues, and therefore secure systems providing template protection are required. Using homomorphic encryption, permanent protection can be ensured, since templates are stored and compared in the encrypted domain. In addition, the unprotected sys...Show More

Template Protection based on Homomorphic Encryption: Computationally Efficient Application to Iris-Biometric Verification and Identification

Jascha Kolberg;Pia Bauspieß;Marta Gomez-Barrero;Christian Rathgeb;Markus Dürmuth;Christoph Busch

2019 IEEE International Workshop on Information Forensics and Security (WIFS)

Year: 2019 | Conference Paper |

On the Impact of Different Fabrication Materials on Fingerprint Presentation Attack Detection

Lázaro J. González-Soler;Marta Gomez-Barrero;Leonardo Chang;Airel Pérez Suárez;Christoph Busch

2019 International Conference on Biometrics (ICB)

Year: 2019 | Conference Paper |

Cited by: Papers (10)

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Presentation Attack Detection (PAD) is the task of determining whether a sample stems from a live subject (bona fide presentation) or from an artificial replica (Presentation Attack Instrument, PAI). Several PAD approaches have shown high effectiveness to successfully detect PAIs when the materials used for the fabrication of these PAIs are known a priori. However, most of these PAD methods do not...Show More

On the Impact of Different Fabrication Materials on Fingerprint Presentation Attack Detection

Lázaro J. González-Soler;Marta Gomez-Barrero;Leonardo Chang;Airel Pérez Suárez;Christoph Busch

2019 International Conference on Biometrics (ICB)

Year: 2019 | Conference Paper |

Multi-Modal Fingerprint Presentation Attack Detection: Analysing the Surface and the Inside

Marta Gomez-Barrero;Jascha Kolberg;Christoph Busch

2019 International Conference on Biometrics (ICB)

Year: 2019 | Conference Paper |

Cited by: Papers (13)

HTML

The deployment of biometric recognition systems has seen a considerable increase over the last decade, in particular for fingerprint based systems. To tackle the security issues derived from presentation attacks launched on the biometric capture device, automatic presentation attack detection (PAD) methods have been proposed. In spite of their high detection rates on the LivDet databases, the vast...Show More

Multi-Modal Fingerprint Presentation Attack Detection: Analysing the Surface and the Inside

Marta Gomez-Barrero;Jascha Kolberg;Christoph Busch

2019 International Conference on Biometrics (ICB)

Year: 2019 | Conference Paper |

Multi-algorithm Benchmark for Fingerprint Presentation Attack Detection with Laser Speckle Contrast Imaging

Jascha Kolberg;Marta Gomez-Barrero;Christoph Busch

2019 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

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The increased usage of biometric authentication systems has raised concerns regarding the security of components in a biometric system. As a consequence, preventing security issues related to presentation attacks targeting the biometric capture device are of utmost importance. To develop presentation attack detection (PAD) mechanisms, features confirming the liveness of the biometric characteristi...Show More

Multi-algorithm Benchmark for Fingerprint Presentation Attack Detection with Laser Speckle Contrast Imaging

Jascha Kolberg;Marta Gomez-Barrero;Christoph Busch

2019 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2019 | Conference Paper |

Towards Multi-modal Finger Presentation Attack Detection

Marta Gomez-Barrero;Jascha Kolberg;Christoph Busch

2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

Year: 2018 | Conference Paper |

Cited by: Papers (11)

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The wide deployment of biometric verification systems has also unveiled security and privacy issues. Among other vulnerabilities, presentation attacks directed to the capture device pose a severe security threat. That is, a gummy finger (known as presentation attack instrument, PAI) can be used to impersonate another subject and thereby gain illegal access to the system. To prevent such attacks, p...Show More

Towards Multi-modal Finger Presentation Attack Detection

Marta Gomez-Barrero;Jascha Kolberg;Christoph Busch

2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

Year: 2018 | Conference Paper |

Towards Fingerprint Presentation Attack Detection Based on Convolutional Neural Networks and Short Wave Infrared Imaging

Ruben Tolosana;Marta Gomez-Barrero;Jascha Kolberg;Aythami Morales;Christoph Busch;Javier Ortega-Garcia

2018 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2018 | Conference Paper |

Cited by: Papers (26)

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Biometric recognition offers many advantages over traditional authentication methods, but they are also vulnerable to, for instance, presentation attacks. These refer to the presentation of artifacts, such as facial pictures or gummy fingers, to the biometric capture device, with the aim of impersonating another person or to avoid being recognised. As such, they challenge the security of biometric...Show More

Towards Fingerprint Presentation Attack Detection Based on Convolutional Neural Networks and Short Wave Infrared Imaging

Ruben Tolosana;Marta Gomez-Barrero;Jascha Kolberg;Aythami Morales;Christoph Busch;Javier Ortega-Garcia

2018 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2018 | Conference Paper |

Visible Wavelength Iris Segmentation: A Multi-Class Approach using Fully Convolutional Neuronal Networks

D. Osorio-Roig;C. Rathgeb;M. Gomez-Barrero;A. Morales-González;E. Garea-Llano;C. Busch

2018 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2018 | Conference Paper |

Cited by: Papers (10)

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Iris segmentation under visible wavelengths (VWs) is a vital processing step for iris recognition systems operating ata-distance or in non-cooperative environments. In these scenarios the presence of various artefacts, e.g. occlusions or specular reflections, as well as out-of-focus blur represents a significant challenge. The vast majority of proposed iris segmentation algorithms under VW aim at ...Show More

Visible Wavelength Iris Segmentation: A Multi-Class Approach using Fully Convolutional Neuronal Networks

D. Osorio-Roig;C. Rathgeb;M. Gomez-Barrero;A. Morales-González;E. Garea-Llano;C. Busch

2018 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2018 | Conference Paper |

Fingerprint Presentation Attack Detection using Laser Speckle Contrast Imaging

Pascal Keilbach;Jascha Kolberg;Marta Gomez-Barrero;Christoph Busch;Hanno Langweg

2018 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2018 | Conference Paper |

Cited by: Papers (21)

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With the increased deployment of biometric authentication systems, some security concerns have also arisen. In particular, presentation attacks directed to the capture device pose a severe threat. In order to prevent them, liveness features such as the blood flow can be utilised to develop presentation attack detection (PAD) mechanisms. In this context, laser speckle contrast imaging (LSCI) is a t...Show More

Fingerprint Presentation Attack Detection using Laser Speckle Contrast Imaging

Pascal Keilbach;Jascha Kolberg;Marta Gomez-Barrero;Christoph Busch;Hanno Langweg

2018 International Conference of the Biometrics Special Interest Group (BIOSIG)

Year: 2018 | Conference Paper |

General Framework to Evaluate Unlinkability in Biometric Template Protection Systems

Marta Gomez-Barrero;Javier Galbally;Christian Rathgeb;Christoph Busch

IEEE Transactions on Information Forensics and Security

Year: 2018 | Volume: 13, Issue: 6 | Journal Article |

Cited by: Papers (164)

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The wide deployment of biometric recognition systems in the last two decades has raised privacy concerns regarding the storage and use of biometric data. As a consequence, the ISO/IEC 24745 international standard on biometric information protection has established two main requirements for protecting biometric templates: irreversibility and unlinkability. Numerous efforts have been directed to the...Show More

General Framework to Evaluate Unlinkability in Biometric Template Protection Systems

Marta Gomez-Barrero;Javier Galbally;Christian Rathgeb;Christoph Busch

IEEE Transactions on Information Forensics and Security

Year: 2018 | Volume: 13, Issue: 6 | Journal Article |

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