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Related papers: On the Feasibility of Creating Iris Periocular Mor…

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Periocular refers to the facial region in the vicinity of the eye, including eyelids, lashes and eyebrows. While face and irises have been extensively studied, the periocular region has emerged as a promising trait for unconstrained…

Computer Vision and Pattern Recognition · Computer Science 2018-10-09 Fernando Alonso-Fernandez , Josef Bigun

State-of-the-art face recognition (FR) approaches have shown remarkable results in predicting whether two faces belong to the same identity, yielding accuracies between 92% and 100% depending on the difficulty of the protocol. However, the…

Computer Vision and Pattern Recognition · Computer Science 2022-05-30 Stefan Hörmann , Tianlin Kong , Torben Teepe , Fabian Herzog , Martin Knoche , Gerhard Rigoll

Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to the facial region in the eye vicinity, including eyelids,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-27 Fernando Alonso-Fernandez , Josef Bigun

Face morphing attacks are widely recognized as one of the most challenging threats to face recognition systems used in electronic identity documents. These attacks exploit a critical vulnerability in passport enrollment procedures adopted…

Computer Vision and Pattern Recognition · Computer Science 2026-02-19 Nicolò Di Domenico , Annalisa Franco , Matteo Ferrara , Davide Maltoni

Iris Recognition Systems are ocular- based biometric devices used primarily for security reasons. The complexity and the randomness of the Iris, amongst various other factors, ensure that this biometric system is inarguably an exact and…

Computer Vision and Pattern Recognition · Computer Science 2014-10-28 Abhimanyu Sarin , Dr. Jagadish Nayak

Iris recognition has emerged as one of the most accurate and convenient biometric for the human identification and has been increasingly employed in a wide range of e-security applications. The quality of iris images acquired at-a-distance…

Computer Vision and Pattern Recognition · Computer Science 2020-01-07 Kuo Wang , Ajay Kumar

Face morphing represents nowadays a big security threat in the context of electronic identity documents as well as an interesting challenge for researchers in the field of face recognition. Despite of the good performance obtained by…

Computer Vision and Pattern Recognition · Computer Science 2021-02-25 Matteo Ferrara , Annalisa Franco , Davide Maltoni

A face morph is created by strategically combining two or more face images corresponding to multiple identities. The intention is for the morphed image to match with multiple identities. Current morph attack detection strategies can detect…

Computer Vision and Pattern Recognition · Computer Science 2022-09-08 Sudipta Banerjee , Prateek Jaiswal , Arun Ross

Morphing is the process of combining two or more subjects in an image in order to create a new identity which contains features of both individuals. Morphed images can fool Facial Recognition Systems (FRS) into falsely accepting multiple…

Computer Vision and Pattern Recognition · Computer Science 2021-11-04 Kelsey O'Haire , Sobhan Soleymani , Baaria Chaudhary , Poorya Aghdaie , Jeremy Dawson , Nasser M. Nasrabadi

The vulnerability of Face Recognition System (FRS) to various kind of attacks (both direct and in-direct attacks) and face morphing attacks has received a great interest from the biometric community. The goal of a morphing attack is to…

Computer Vision and Pattern Recognition · Computer Science 2020-11-05 Sushma Venkatesh , Raghavendra Ramachandra , Kiran Raja , Christoph Busch

Face morphing attacks circumvent face recognition systems (FRSs) by creating a morphed image that contains multiple identities. However, existing face morphing attack methods either sacrifice image quality or compromise the identity…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Zuyuan He , Zongyong Deng , Qiaoyun He , Qijun Zhao

Face Recognition (FR) systems have been shown to be vulnerable to morphing attacks. We examine exactly how challenging morphs can become. By showing a worst-case construction in the embedding space of an FR system and using a mapping from…

Computer Vision and Pattern Recognition · Computer Science 2022-09-20 Una M. Kelly , Raymond Veldhuis , Luuk Spreeuwers

Biometric methods based on iris images are believed to allow very high accuracy, and there has been an explosion of interest in iris biometrics in recent years. In this paper, we use the Scale Invariant Feature Transformation (SIFT) for…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 Fernando Alonso-Fernandez , Pedro Tome-Gonzalez , Virginia Ruiz-Albacete , Javier Ortega-Garcia

A morph is created by combining two (or more) face images from two (or more) identities to create a composite image that is highly similar to all constituent identities, allowing the forged morph to be biometrically associated with more…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Nitish Shukla , Arun Ross

Biometric systems based on iris recognition are currently being used in border control applications and mobile devices. However, research in iris recognition is stymied by various factors such as limited datasets of bonafide irides and…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Shivangi Yadav , Arun Ross

Face-morphing attacks have been a cause for concern for a number of years. Striving to remain one step ahead of attackers, researchers have proposed many methods of both creating and detecting morphed images. These detection methods,…

Computer Vision and Pattern Recognition · Computer Science 2020-12-22 Richard T. Marriott , Sami Romdhani , Stéphane Gentric , Liming Chen

The vulnerability of facial recognition systems to face morphing attacks is well known. Many different approaches for morphing attack detection have been proposed in the scientific literature. However, the morphing attack detection…

Cryptography and Security · Computer Science 2020-04-06 Ulrich Scherhag , Christian Rathgeb , Johannes Merkle , Christoph Busch

In recent years face recognition systems have been brought to the mainstream due to development in hardware and software. Consistent efforts are being made to make them better and more secure. This has also brought developments in 3D face…

Computer Vision and Pattern Recognition · Computer Science 2023-09-22 Sanjeet Vardam , Luuk Spreeuwers

Biometrics systems have significantly improved person identification and authentication, playing an important role in personal, national, and global security. However, these systems might be deceived (or "spoofed") and, despite the recent…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 David Menotti , Giovani Chiachia , Allan Pinto , William Robson Schwartz , Helio Pedrini , Alexandre Xavier Falcao , Anderson Rocha

Face Recognition systems (FRS) have been found to be vulnerable to morphing attacks, where the morphed face image is generated by blending the face images from contributory data subjects. This work presents a novel direction for generating…

Computer Vision and Pattern Recognition · Computer Science 2023-10-16 Jag Mohan Singh , Raghavendra Ramachandra
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