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Alessandro Bria - IEEE Xplore Author Profile

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Author details

Alessandro Bria

Also published under: A. Bria

Publications

16

Citations

266

Publications by Year

20122024

Co-Authors:

Omer Faruk AdilAitor Alvarez-GilaCodruta O. AncutiCosmin AncutiMarcelo Bertalmo

Show All Co-Authors (114)

Alessandro Bria

Also published under: A. Bria

Affiliation

Department of Electrical and Information Engineering

University of Cassino and Southern Latium

Cassino, Italy

Publication Topics

Training Set,
Deep Learning,
Machine Learning,
Annotated Corpus,
Anomaly Data,
Arduino,
Artificial Neural Network,
Autoencoder,
Bidirectional Flow,
Biomedical Domain,
Biomedical Entities,
Bounding Box

Biography

Alessandro Bria received the M.Sc. degree in computer engineering from the University of L’Aquila, in 2010, and the Ph.D. degree in electrical and information engineering from the University of Cassino and Southern Lazio, in 2014. In 2019, he joined the Department of Electrical and Information Engineering (DIEI), University of Cassino and Southern Lazio, where he is currently an Associate Professor in computer science and artificial intelligence. He has authored 60 International journals and conference proceedings research papers. His current research interests include medical image analysis, EEG signal analysis, and unstructured EHR analysis. He is a member of the Editorial Board of the journals Frontiers in Artificial Intelligence and Fro...

Publications

16

Citations

266

Publications by Year

20122024

Co-Authors:

Omer Faruk Adil
Aitor Alvarez-Gila
Codruta O. Ancuti
Cosmin Ancuti
Marcelo Bertalmo

Show All Co-Authors (114)

Author's Published Works

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Showing 1-25 of 40 results

Conferences (33)

Journals (6)

Early Access Articles (1)

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Sushma Venkatesh(38)
Raghavendra Ramachandra(29)
Christoph Busch(28)
Kiran Raja(16)
Kiran B. Raja(11)
Norwegian University of Science and Technology (NTNU), Norway(8)
AiBA AS, Norway(5)
Norwegian Biometrics Laboratory, NTNU, Gjøvik, Norway(5)
School of Physical and Applied Sciences, Goa University, Goa, India(4)
Norwegian University of Science and Technology (NTNU), Gjøvik, Norway(3)
IEEE Transactions on Biometrics, Behavior, and Identity Science(3)
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2)
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)(2)
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)(2)
IEEE Transactions on Technology and Society(2)
IEEE(40)
Media(3)
Waikoloa, HI, USA(3)
Honolulu, HI, USA(2)
Sorrento, Italy(2)
Barcelona, Spain(1)
Cambridge, UK(1)
Face Recognition(25)
Face Images(23)
Extensive Experiments(21)
Cross-border(18)
Data Subject(15)

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PCGattnNet: A 3D Point Cloud Dynamic Graph Attention for Generalizable Face Presentation Attack Detection

Raghavendra Ramachandra;Narayan Vetrekar;Sushrut Patwardhan;Sushma Venkatesh;Gauresh Naik;R. S. Gad

IEEE Transactions on Biometrics, Behavior, and Identity Science

Year: 2025 | Early Access Article |

Face recognition systems that are commonly used in access control settings are vulnerable to presentation attacks, which pose a significant security risk. Therefore, it is crucial to develop a robust and reliable face presentation attack detection system that can automatically detect these types of attacks. In this paper, we present a novel technique called Point Cloud Graph Attention Network (PCG...Show More

PCGattnNet: A 3D Point Cloud Dynamic Graph Attention for Generalizable Face Presentation Attack Detection

Raghavendra Ramachandra;Narayan Vetrekar;Sushrut Patwardhan;Sushma Venkatesh;Gauresh Naik;R. S. Gad

IEEE Transactions on Biometrics, Behavior, and Identity Science

Year: 2025 | Early Access Article |

VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection

Raghavendra Ramachandra;Narayan Vetrekar;Sushma Venkatesh;Savita Nageshker;Jag Mohan Singh;R. S. Gad

2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)

Year: 2024 | Conference Paper |

Cited by: Papers (1)

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Facial biometrics are an essential components of smartphones to ensure reliable and trustworthy authentication. However, face biometric systems are vulnerable to Presentation Attacks (PAs), and the availability of more sophisticated presentation attack instruments such as 3D silicone face masks will allow attackers to deceive face recognition systems easily. In this work, we propose a novel Presen...Show More

VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection

Raghavendra Ramachandra;Narayan Vetrekar;Sushma Venkatesh;Savita Nageshker;Jag Mohan Singh;R. S. Gad

2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)

Year: 2024 | Conference Paper |

Fingervein Verification using Convolutional Multi-Head Attention Network

Raghavendra Ramachandra;Sushma Venkatesh

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Year: 2024 | Conference Paper |

Cited by: Papers (1)

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Biometric verification systems are deployed in various security-based access-control applications that require user-friendly and reliable person verification. Among the different biometric characteristics, fingervein biometrics have been extensively studied owing to their reliable verification performance. Furthermore, fingervein patterns reside inside the skin and are not visible outside; therefo...Show More

Fingervein Verification using Convolutional Multi-Head Attention Network

Raghavendra Ramachandra;Sushma Venkatesh

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Year: 2024 | Conference Paper |

Multispectral Imaging for Differential Face Morphing Attack Detection: A Preliminary Study

Raghavendra Ramachandra;Sushma Venkatesh;Naser Damer;Narayan Vetrekar;R. S. Gad

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Year: 2024 | Conference Paper |

Cited by: Papers (2)

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Face morphing attack detection is emerging as an increasingly challenging problem owing to advancements in high-quality and realistic morphing attack generation. Reliable detection of morphing attacks is essential because these attacks are targeted for border control applications. This paper presents a multispectral framework for differential morphing-attack detection (D-MAD). The D-MAD methods ar...Show More

Multispectral Imaging for Differential Face Morphing Attack Detection: A Preliminary Study

Raghavendra Ramachandra;Sushma Venkatesh;Naser Damer;Narayan Vetrekar;R. S. Gad

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Year: 2024 | Conference Paper |

Does complimentary information from multispectral imaging improve face presentation attack detection?

Narayan Vetrekar;Raghavendra Ramachandra;Sushma Venkatesh;Jyoti D. Pawar;R. S. Gad

2024 IEEE Applied Sensing Conference (APSCON)

Year: 2024 | Conference Paper |

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Presentation Attack Detection (PAD) has been extensively studied, particularly in the visible spectrum. With the advancement of sensing technology beyond the visible range, multispectral imaging has gained significant attention in this direction. We present PAD based on multispectral images constructed for eight different presentation artifacts resulted from three different artifact species. In th...Show More

Does complimentary information from multispectral imaging improve face presentation attack detection?

Narayan Vetrekar;Raghavendra Ramachandra;Sushma Venkatesh;Jyoti D. Pawar;R. S. Gad

2024 IEEE Applied Sensing Conference (APSCON)

Year: 2024 | Conference Paper |

Sound-Print: Generalised Face Presentation Attack Detection using Deep Representation of Sound Echoes

Raghavendra Ramachandra;Jag Mohan Singh;Sushma Venkatesh

2023 IEEE International Joint Conference on Biometrics (IJCB)

Year: 2023 | Conference Paper |

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Facial biometrics are widely deployed in smartphone-based applications because of their usability and increased verification accuracy in unconstrained scenarios. The evolving applications of smartphone-based facial recognition have also increased Presentation Attacks (PAs), where an attacker can present a Presentation Attack Instrument (PAI) to maliciously gain access to the application. Because t...Show More

Sound-Print: Generalised Face Presentation Attack Detection using Deep Representation of Sound Echoes

Raghavendra Ramachandra;Jag Mohan Singh;Sushma Venkatesh

2023 IEEE International Joint Conference on Biometrics (IJCB)

Year: 2023 | Conference Paper |

Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques

Jag Mohan Singh;Sushma Venkatesh;Raghavendra Ramachandra

2023 26th International Conference on Information Fusion (FUSION)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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The face morphing process will combine two or more facial images to generate a single morphed facial image demonstrating Face Recognition Systems (FRS) vulnerability. The attack potential of the morphing image directly depends on the perceptual image quality, and when generated with no visible artefacts, it can deceive both human observers and automatic FRS. The current softwares for face morphing...Show More

Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques

Jag Mohan Singh;Sushma Venkatesh;Raghavendra Ramachandra

2023 26th International Conference on Information Fusion (FUSION)

Year: 2023 | Conference Paper |

Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network

Raghavendra Ramachandra;Sushma Venkatesh;Guoqiang Li;Kiran Raja

2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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Face Recognition System (FRS) are shown to be vulnerable to morphed images of newborns. Detecting morphing attacks stemming from face images of newborn is important to avoid unwanted consequences, both for security and society. In this paper, we present a new reference-based/Differential Morphing Attack Detection (MAD) method to detect newborn morphing images using Wavelet Scattering Network (WSN)...Show More

Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network

Raghavendra Ramachandra;Sushma Venkatesh;Guoqiang Li;Kiran Raja

2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART)

Year: 2023 | Conference Paper |

Vulnerability of Face Morphing Attacks: A Case Study on Lookalike and Identical Twins

Raghavendra Ramachandra;Sushma Venkatesh;Gaurav Jaswal;Guoqiang Li

2023 11th International Workshop on Biometrics and Forensics (IWBF)

Year: 2023 | Conference Paper |

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Face morphing attacks have emerged as a potential threat, particularly in automatic border control scenarios. Morphing attacks permit more than one individual to use travel documents that can be used to cross borders using automatic border control gates. The potential for morphing attacks depends on the selection of data subjects (accomplice and malicious actors). This work investigates lookalike ...Show More

Vulnerability of Face Morphing Attacks: A Case Study on Lookalike and Identical Twins

Raghavendra Ramachandra;Sushma Venkatesh;Gaurav Jaswal;Guoqiang Li

2023 11th International Workshop on Biometrics and Forensics (IWBF)

Year: 2023 | Conference Paper |

Analyzing Human Observer Ability in Morphing Attack Detection—Where Do We Stand?

Sankini Rancha Godage;Frøy Løvåsdal;Sushma Venkatesh;Kiran Raja;Raghavendra Ramachandra;Christoph Busch

IEEE Transactions on Technology and Society

Year: 2023 | Volume: 4, Issue: 2 | Journal Article |

Cited by: Papers (14)

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Morphing attacks are based on the technique of digitally fusing two (or more) face images into one, with the final visage resembling the contributing faces. Morphed images not only pose a challenge to Face-Recognition Systems (FRS) but also challenge experienced human observers due to high quality, postprocessing eliminating any visible artifacts, and further the printing and scanning process. Few...Show More

Analyzing Human Observer Ability in Morphing Attack Detection—Where Do We Stand?

Sankini Rancha Godage;Frøy Løvåsdal;Sushma Venkatesh;Kiran Raja;Raghavendra Ramachandra;Christoph Busch

IEEE Transactions on Technology and Society

Year: 2023 | Volume: 4, Issue: 2 | Journal Article |

Multi-spectral Finger based User Verification using Off-the-Shelf Deep Features

Sushma Venkatesh

2022 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

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Biometrics based person verification is widely employed in several applications like smartphone access, banking, national identification documents and border control. In general, the biometric system employs different biometric characteristics, including physiological (e.g. face, iris, fingerprint, finger vein, palm) and behavioural (e.g. keystrokes, gesture, gait, voice) for verification. Among t...Show More

Multi-spectral Finger based User Verification using Off-the-Shelf Deep Features

Sushma Venkatesh

2022 IEEE International Conference on Imaging Systems and Techniques (IST)

Year: 2022 | Conference Paper |

Face Morphing of Newborns Can Be Threatening Too : Preliminary Study on Vulnerability and Detection

Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja

2021 IEEE International Joint Conference on Biometrics (IJCB)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Face morphing attacks are evolving as a significant threat to the Face Recognition Systems (FRS) operating in border control and passport issuance. As newborn face has very limited discriminative facial characteristics, it is challenging for both human and machines to verify the newborns based on the facial biometrics accurately. Further, the introduction of face morphing elevates the problem of b...Show More

Face Morphing of Newborns Can Be Threatening Too : Preliminary Study on Vulnerability and Detection

Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja

2021 IEEE International Joint Conference on Biometrics (IJCB)

Year: 2021 | Conference Paper |

Handwritten Signature and Text based User Verification using Smartwatch

Raghavendra Ramachandra;Sushma Venkatesh;Kiran Raja;Christoph Busch

2020 25th International Conference on Pattern Recognition (ICPR)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Wrist-wearable devices such as smartwatch hardware have gained popularity as they provide quick access to various information and easy access to multiple applications. Among the numerous smartwatch applications, user verification based on the handwriting is gaining momentum by considering its reliability and user-friendliness. In this paper, we present a novel technique for user verification using...Show More

Handwritten Signature and Text based User Verification using Smartwatch

Raghavendra Ramachandra;Sushma Venkatesh;Kiran Raja;Christoph Busch

2020 25th International Conference on Pattern Recognition (ICPR)

Year: 2021 | Conference Paper |

MIPGAN—Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN

Haoyu Zhang;Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Naser Damer;Christoph Busch

IEEE Transactions on Biometrics, Behavior, and Identity Science

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

Cited by: Papers (84)

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Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing face images derived from multiple data subjects (e.g., accomplices and malicious actors). Morphed images can be verified against contributing data subjects with a reasonable success rate, given they have a high degree of facial resemblance. The success of morphing attacks is directly dependent on the quality of ...Show More

MIPGAN—Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN

Haoyu Zhang;Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Naser Damer;Christoph Busch

IEEE Transactions on Biometrics, Behavior, and Identity Science

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

Face Morphing Attack Generation and Detection: A Comprehensive Survey

Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Christoph Busch

IEEE Transactions on Technology and Society

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

Cited by: Papers (83)

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Face recognition has been successfully deployed in real-time applications, including secure applications such as border control. The vulnerability of face recognition systems (FRSs) to various kinds of attacks (both direct and indirect attacks) and face morphing attacks has received great interest from the biometric community. The goal of a morphing attack is to subvert an FRS at an automatic bord...Show More

Face Morphing Attack Generation and Detection: A Comprehensive Survey

Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Christoph Busch

IEEE Transactions on Technology and Society

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

Low Visual Distortion and Robust Morphing Attacks Based on Partial Face Image Manipulation

Le Qin;Fei Peng;Sushma Venkatesh;Raghavendra Ramachandra;Min Long;Christoph Busch

IEEE Transactions on Biometrics, Behavior, and Identity Science

Year: 2021 | Volume: 3, Issue: 1 | Journal Article |

Cited by: Papers (21)

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Face verification is a popular way for verifying identities in access control systems. In this work, a partial face manipulation-based morphing attack (MA) is proposed to compromise the uniqueness of face templates. Different from existing research, this work changes MA from a holistic face level to component level, and only the most effective facial components (eyes and nose) are used. Therefore,...Show More

Low Visual Distortion and Robust Morphing Attacks Based on Partial Face Image Manipulation

Le Qin;Fei Peng;Sushma Venkatesh;Raghavendra Ramachandra;Min Long;Christoph Busch

IEEE Transactions on Biometrics, Behavior, and Identity Science

Year: 2021 | Volume: 3, Issue: 1 | Journal Article |

On the Influence of Ageing on Face Morph Attacks: Vulnerability and Detection

Sushma Venkatesh;Kiran Raja;Raghavendra Ramachandra;Christoph Busch

2020 IEEE International Joint Conference on Biometrics (IJCB)

Year: 2020 | Conference Paper |

Cited by: Papers (13)

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Face morphing attacks have raised critical concerns as they demonstrate a new vulnerability of Face Recognition Systems (FRS), which are widely deployed in border control applications. The face morphing process uses the images from multiple data subjects and performs an image blending operation to generate a morphed image of high quality. The generated morphed image exhibits similar visual charact...Show More

On the Influence of Ageing on Face Morph Attacks: Vulnerability and Detection

Sushma Venkatesh;Kiran Raja;Raghavendra Ramachandra;Christoph Busch

2020 IEEE International Joint Conference on Biometrics (IJCB)

Year: 2020 | Conference Paper |

Single Image Face Morphing Attack Detection Using Ensemble of Features

Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Christoph Busch

2020 IEEE 23rd International Conference on Information Fusion (FUSION)

Year: 2020 | Conference Paper |

Cited by: Papers (24)

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Face morphing attacks have demonstrated a severe threat in the passport issuance protocol that weakens the border control operations. A morphed face images if used after printing and scanning (re-digitizing) to obtain a passport is very challenging to be detected as attack. In this paper, we present a novel method to detect such morphing attacks using an ensemble of features computed on the scale-...Show More

Single Image Face Morphing Attack Detection Using Ensemble of Features

Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Christoph Busch

2020 IEEE 23rd International Conference on Information Fusion (FUSION)

Year: 2020 | Conference Paper |

Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? - Vulnerability and Detection

Sushma Venkatesh;Haoyu Zhang;Raghavendra Ramachandra;Kiran Raja;Naser Damer;Christoph Busch

2020 8th International Workshop on Biometrics and Forensics (IWBF)

Year: 2020 | Conference Paper |

Cited by: Papers (64)

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The primary objective of face morphing is to com-bine face images of different data subjects (e.g. an malicious actor and an accomplice) to generate a face image that can be equally verified for both contributing data subjects. In this paper, we propose a new framework for generating face morphs using a newer Generative Adversarial Network (GAN) - StyleGAN. In contrast to earlier works, we generat...Show More

Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? - Vulnerability and Detection

Sushma Venkatesh;Haoyu Zhang;Raghavendra Ramachandra;Kiran Raja;Naser Damer;Christoph Busch

2020 8th International Workshop on Biometrics and Forensics (IWBF)

Year: 2020 | Conference Paper |

Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-scale Context Aggregation Network

Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Luuk Spreeuwers;Raymond Veldhuis;Christoph Busch

2020 IEEE Winter Conference on Applications of Computer Vision (WACV)

Year: 2020 | Conference Paper |

Cited by: Papers (32)

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Along with the deployment of the Face Recognition Systems (FRS), concerns were raised related to the vulnerability of those systems towards various attacks including morphed attacks. The morphed face attack involves two different face images in order to obtain via a morphing process a resulting attack image, which is sufficiently similar to both contributing data subjects. The obtained morphed ima...Show More

Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-scale Context Aggregation Network

Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Luuk Spreeuwers;Raymond Veldhuis;Christoph Busch

2020 IEEE Winter Conference on Applications of Computer Vision (WACV)

Year: 2020 | Conference Paper |

Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition

Jag Mohan Singh;Sushma Venkatesh;Kiran B. Raja;Raghavendra Ramachandra;Christoph Busch

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

Year: 2019 | Conference Paper |

Cited by: Papers (4)

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Despite the high biometric performance, finger-vein recognition systems are vulnerable to presentation attacks (aka., spoofing attacks). In this paper, we present a new and robust approach for detecting presentation attacks on finger-vein biometric systems exploiting the 3D Shape (normal-map) and material properties (diffuse-map) of the finger. Observing the normal-map and diffuse-map exhibiting e...Show More

Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition

Jag Mohan Singh;Sushma Venkatesh;Kiran B. Raja;Raghavendra Ramachandra;Christoph Busch

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

Year: 2019 | Conference Paper |

Visible to Band Gender Classification: An Extensive Experimental Evaluation Based on Multi-spectral Imaging

Narayan Vetrekar;Raghavendra Ramachandra;Kiran Raja;Sushma Venkatesh;Rajendra Gad;Christoph Busch

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

Year: 2019 | Conference Paper |

Cited by: Papers (1)

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The ability of multi-spectral imaging to acquire spatial and spectral details across electromagnetic spectrum, has gained significant importance to perform under varying illumination conditions. Due to which a maximum preference is shown in the recent times to employ multi-spectral imaging in biometric systems. Although there are substantial studies carried out independently using visible image fa...Show More

Visible to Band Gender Classification: An Extensive Experimental Evaluation Based on Multi-spectral Imaging

Narayan Vetrekar;Raghavendra Ramachandra;Kiran Raja;Sushma Venkatesh;Rajendra Gad;Christoph Busch

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

Year: 2019 | Conference Paper |

Morphed Face Detection Based on Deep Color Residual Noise

Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Luuk Spreeuwers;Raymond Veldhuis;Christoph Busch

2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)

Year: 2019 | Conference Paper |

Cited by: Papers (30)

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Secure access control applications like border control rely on the face based verification system by considering its reliability, usability and accuracy in-person verification. However, face recognition systems are vulnerable to morphed face attacks, in which, the morphing process combines two different facial images into a single facial image. The features extracted from the morphed face image wi...Show More

Morphed Face Detection Based on Deep Color Residual Noise

Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Luuk Spreeuwers;Raymond Veldhuis;Christoph Busch

2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)

Year: 2019 | Conference Paper |

Towards making Morphing Attack Detection robust using hybrid Scale-Space Colour Texture Features

Raghavendra Ramachandra;Sushma Venkatesh;Kiran Raja;Christoph Busch

2019 IEEE 5th International Conference on Identity, Security, and Behavior Analysis (ISBA)

Year: 2019 | Conference Paper |

Cited by: Papers (39)

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The widespread use of face recognition algorithms, especially in Automatic Border Control (ABC) systems has raised concerns due to potential attacks. Face morphing combines more than one face images to generate a single image that can be used in the passport enrolment procedure. Such morphed passports have proven to be a significant threat to national security, as two or more individuals that cont...Show More

Towards making Morphing Attack Detection robust using hybrid Scale-Space Colour Texture Features

Raghavendra Ramachandra;Sushma Venkatesh;Kiran Raja;Christoph Busch

2019 IEEE 5th International Conference on Identity, Security, and Behavior Analysis (ISBA)

Year: 2019 | Conference Paper |

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