Border management procedures worldwide are increasingly reliant on technologies and digital systems. European authorities involved in policy formulation for border control have increasingly looked to IT solutions as they seek appropriate means to deal with increasing flows of travellers at the external borders of the Schengen Area while striving to render border checks more efficient and effective. As part of the European Commission’s Smart Borders program, two new large-scale IT systems have been proposed for development. The European Entry Exit System (EES) aims to facilitate secure border passage through the use of biometrics and self-service technologies. The European Travel Information Authorisation System (ETIAS), meanwhile, will allow collection of data for risk assessment in advance of travel. The new systems complement those already in place, with interoperability between systems to improve service efficiency and the effectiveness of system usage a relatively new area of interest.

The latest developments in the expansion of IT systems at European borders will be described in the presentation. Updates will be provided on eu-LISA-led studies on system development and interoperability concepts. The information will provide the basis for a depiction of the future of IT-led border management encompassing advance passenger authorization as well as checks at borders and involving a variety of actors including border guards, customs authorities, consular authorities, travel agents and carriers and of course travellers.

• EEG
• Biometrics
• non-Stationarity

• Multimodal
• Person Re-identification
• Convolutional Neural Networks
• Feature Fusion

• rank level fusion
• pool adjacent violators
• biometric fusion
• biometric identification
• multimodal

• iris recognition
• iris-code
• bit-error analysis
• improved comparator

• Iris Segmentation
• Damian Adaptation
• CNN based Iris Segmentation

• Biometrics
• Iris Recognition
• Iris-Code
• Synthetisation

• Fingerprint registration
• Reference point detection
• Fingerprint alignment
• Biometric template protection

• Fingerprint Recognition
• Template Ageing
• Quality
• Ghost Fingerprints

The use of the technology for identification has recently expanded due to several innovations in the field. One such expansion is the use of biometrics to create a national ID system as a HUB for several social services. Such a system would be mainly used for history management of issuing social welfare services for citizens, especially for adults. However, additional requirements requested involve development of the ability to register children into the citizenship database. A biometric technology solution makes identification possible because it does not require any input from the child.

NEC, a biometric technology pioneer, assigned a technical project team to develop an accurate child print capturing method without the limits prescribed by the various international standards and specifications. This project is in line with the company’s corporate philosophy of providing innovative solutions for society’s most challenging problems. The purpose of this research is to explain the feasibility of NEC’s new device with biometric technology and the results from onsite research.

• fingerprints
• biometrics
• newborns
• infants
• recognition

• fingerprint recognition
• minutiae extraction
• robustness to noise
• interoperability

• de-duplication
• face recognition
• large database
• binomial distribution

• face recognition
• facial feature representation
• spatial LSTM
• deep learning

• eyebrow recognition
• texture-based
• local descriptor
• WLD
• 3-patch LBP
• 4-patch LBP

• Biometrics
• Morphing
• Performance Reporting
• Attack Detection

• Presentation Attack Detection
• 3D-Masks
• Extended-range imaging
• Near Infrared (NIR)
• Long-wave Infrared (LWIR)
• Thermal imagery

• presentation attack detection
• speaker verification
• bandwidth and channel variation

Soft Biometrics are the estimation or use of personal characteristics describable by humans that can be used to aid or effect person recognition. Soft biometrics are also attributes that are typically gleaned from primary biometric data which are classifiable in pre-defined human understandable categories and can be extracted in an automated manner. These attributes can contribute to recognition or can be estimated separately and this helps to improve or refine biometric systems operation. This leads to soft biometrics which can be used to reinforce conventional biometrics and which can be estimated separately, say to increase biometrics deployment capability. Alternatively, fine grained attributes can be deployed as measures used for identification. Humans can describe the body, the clothing and the face for recognition and, equally, these descriptions can be estimated by computer vision. The new approach is akin with automated eyewitness identification, using information derived by human and automated processes. We therefore have a new approach to identifying humans by using attributes that can be described by people or by automated vision. We are then well on the way to provide a new way for automated identification from surveillance video which is a capability much needed in modern society.