Multi-modal Biometrics with PKI Technologies for Border Control Applications

Author(s):  
Taekyoung Kwon ◽  
Hyeonjoon Moon
2019 ◽  
Vol 11 (14) ◽  
pp. 1668 ◽  
Author(s):  
Indrajit Kurmi ◽  
David C. Schedl ◽  
Oliver Bimber

We apply a multi-spectral (RGB and thermal) camera drone for synthetic aperture imaging to computationally remove occluding vegetation for revealing hidden objects, as required in archeology, search-and-rescue, animal inspection, and border control applications. The radiated heat signal of strongly occluded targets, such as a human bodies hidden in dense shrub, can be made visible by integrating multiple thermal recordings from slightly different perspectives, while being entirely invisible in RGB recordings or unidentifiable in single thermal images. We collect bits of heat radiation through the occluder volume over a wide synthetic aperture range and computationally combine them to a clear image. This requires precise estimation of the drone’s position and orientation for each capturing pose, which is supported by applying computer vision algorithms on the high resolution RGB images.


2020 ◽  
Vol 6 (11) ◽  
pp. 115
Author(s):  
Stephanie Autherith ◽  
Cecilia Pasquini

Face-morphing operations allow for the generation of digital faces that simultaneously carry the characteristics of two different subjects. It has been demonstrated that morphed faces strongly challenge face-verification systems, as they typically match two different identities. This poses serious security issues in machine-assisted border control applications and calls for techniques to automatically detect whether morphing operations have been previously applied on passport photos. While many proposed approaches analyze the suspect passport photo only, our work operates in a differential scenario, i.e., when the passport photo is analyzed in conjunction with the probe image of the subject acquired at border control to verify that they correspond to the same identity. To this purpose, in this study, we analyze the locations of biologically meaningful facial landmarks identified in the two images, with the goal of capturing inconsistencies in the facial geometry introduced by the morphing process. We report the results of extensive experiments performed on images of various sources and under different experimental settings showing that landmark locations detected through automated algorithms contain discriminative information for identifying pairs with morphed passport photos. Sensitivity of supervised classifiers to different compositions on the training and testing sets are also explored, together with the performance of different derived feature transformations.


2004 ◽  
Author(s):  
Gloria L. Calhoun ◽  
John V. Fontejon ◽  
Mark H. Draper ◽  
Heath A. Ruff ◽  
Brian J. Guilfoos
Keyword(s):  

2016 ◽  
Vol 46 (183) ◽  
pp. 289-305
Author(s):  
Angela Schweizer

The following article is based on my fieldwork in Morocco and represents anthropological data collected amongst undocumented sub-Saharan migrants in Morocco. They want to enter Europe in search for a better life for themselves and to provide financial support for their families. Due to heavy border security control and repression, they find themselves trapped at the gates of Europe, where they are trying to survive by engaging in various economic activities in the informal sector. The article begins with an overview of the European migration politics in Africa and the geopolitical and historical context of Morocco, in light of the externalization of European border control. I will then analyze the various economic sectors, in which sub-Saharan migrations are active, as well as smuggling networks, informal camps and remittances, on which they largely depend due to the exclusion from the national job market.


Author(s):  
Felicity Amaya Schaeffer

I argue that we are entering an automated era of border control that I label a border-biosecurity industrial complex. Funded in great part by the Department of Homeland Security (DHS), scientific research and automated surveillance technologies promise the state innovative and supposedly unbiased solutions to the challenge of border control and security. This article spotlights a border surveillance technology called AVATAR (Automated Virtual Agent for Truth Assessment in Real-Time). Analyzing this technology, which was funded by the DHS and developed by faculty at the University of Arizona’s National Center for Border Security and Immigration (BORDERS), allows me to assess how the emphasis on novel technologies to detect terrorists unleashes the search for ubiquitous surveillance devices programmed to detect deviant behavioral and physiological movements. I offer a wider view of this technology-in-the-making by analyzing how university research in aerial defense, the psychology of deception, the life sciences, and computer engineering influences the development of surveillance devices and techniques. I explore how, during a posthuman era, automated technologies detect and racialize “suspect life” under the guise of scientific neutrality and supposedly free from human interference. Suspect life refers to the racial bias preprogrammed into algorithms that compute danger or risk into certain human movements and regions such as border zones. As these technologies turn the body into matter, they present biological life as a more scientifically verifiable truth than human verbal testimony, moving border control from the adjudication of law through the subjective interview to the automated body that speaks a truth more powerful than a complex story can tell.


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