Biometrie-BIOSIG 2017

Termin: 20.-22.09.2017
Dauer: 10:00-17:00
Ort: Fraunhofer IGD
Fraunhoferstr. 5
64283 Darmstadt


Wednesday, September 20
Claudia Prediger
Claudia Prediger
BIOSIG registration
EAB Award ceremony and BIOSIG welcome reception

Thursday, September 21


Christoph Busch
Hochschule Darmstadt
Christoph Busch
BIOSIG Conference Opening
Ciaran Carolan
Ciaran Carolan
Biometrics, interoperability and large-scale IT systems: the Future of EU Smart Borders

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.

Gabriel Emile Hine
Roma Tre University
Gabriel Emile Hine
Resting-state EEG
A Study on its non-Stationarity for Biometric Applications
  • EEG
  • Biometrics
  • non-Stationarity
11:20 Break
Aske Rasch Lejbølle
Aalborg University
Aske Rasch Lejbølle
Multimodal Neural Network for Overhead Person Re-identification
  • Multimodal
  • Person Re-identification
  • Convolutional Neural Networks
  • Feature Fusion
Nanang Susyanto
Universitas Gadjah Mada
Nanang Susyanto
Pool Adjacent Violators Based Biometric Rank Level Fusion
  • rank level fusion
  • pool adjacent violators
  • biometric fusion
  • biometric identification
  • multimodal
12:55 Lunch-Break
Christian Rathgeb
Hochschule Darmstadt
Christian Rathgeb
Improvement of Iris Recognition based on Iris-Code Bit-Error Pattern Analysis
  • iris recognition
  • iris-code
  • bit-error analysis
  • improved comparator
Ehsaneddin Jalilian
University of Salzburg
Ehsaneddin Jalilian
Domain Adaptation for CNN Based Iris Segmentation
  • Iris Segmentation
  • Damian Adaptation
  • CNN based Iris Segmentation
Pawel Drozdowski
Hochschule Darmstadt
Pawel Drozdowski
SIC-Gen: A Synthetic Iris-Code Generator
  • Biometrics
  • Iris Recognition
  • Iris-Code
  • Synthetisation
15:35 Break
Johannes Merkle
Johannes Merkle
Improving the T ented Arch Reference Point Detection Algorithm
  • Fingerprint registration
  • Reference point detection
  • Fingerprint alignment
  • Biometric template protection
Simon Kirchgasser
University of Salzburg
Simon Kirchgasser
Fingerprint T emplate Ageing vs. T emplate Changes Revisited
  • Fingerprint Recognition
  • Template Ageing
  • Quality
  • Ghost Fingerprints
Arslan Brömme
Opening Poster Session


Andre Ricardo Goncalves


On the generalization of fused systems in voice presentation attack detection


Eduardo Ribeiro

University of Salzburg

Exploring Texture Transfer Learning via Convolutional Neural Networks for Iris Super Resolution


Patrick Schuch


Intrinsic Limitations of Fingerprint Orientation Estimation


Neamah Al-Naffakh

Plymouth University

Unobtrusive Gait Recognition using Smartwatches


Attaullah Buriro

University of Trento

Evaluation of Motion-based Touch-typing Biometrics in Online Financial Environments


Emanuela Piciucco

Roma Tre University

Steady-State Visual Evoked Potentials for EEG-Based Biometric Identification


Fernando Alonso-Fernandez

Halmstad University

Improving Very Low-Resolution Iris Identification Via Super-Resolution Reconstruction of Local Patches


Andreas Nautsch

Hochschule Darmstadt

Deep Quality-informed Score Normalization for privacy-friendly Speaker Recognition in unconstrained Environments


Francisco M. Castro

University of Málaga

Evaluation of CNN architectures for gait recognition based on optical flow maps


Chris Zeinstra

University of Twente

How Random is a Classifier given its Area under Curve?


Stepanka Barotova

Brno University of Technology

Fingerprint Damage Localizer and Detector of Skin Diseases from Fingerprint Images


Pankaj Wasnik


Fusing Biometric Scores using Subjective Logic for Gait Recognition on Smartphone

18:40 Social Event: Dinner with Barbeque

Friday, September 22

Yoshinori Koda
NEC Corporation
Yoshinori Koda
Fingerprinting young newborns - from sensor design to application challenges

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.

Vanina Camacho
Universidad de la República
Vanina Camacho
Recognizing infants and toddlers over an on-production fingerprint database
  • fingerprints
  • biometrics
  • newborns
  • infants
  • recognition
Tarang Chugh
Michigan State University
Tarang Chugh
Benchmarking Fingerprint Minutiae Extractors
  • fingerprint recognition
  • minutiae extraction
  • robustness to noise
  • interoperability
10:40 Break
Luuk Spreeuwers
University of Twente
Luuk Spreeuwers
De-duplication using automated face recognition: an accurate mathematical model and all babies are equally cute
  • de-duplication
  • face recognition
  • large database
  • binomial distribution
Seong Tae Kim
Seong Tae Kim
Multi-scale facial scanning via spatial LSTM for latent facial feature representation
  • face recognition
  • facial feature representation
  • spatial LSTM
  • deep learning
Mehmet Ozgur Turkoglu
University of Twente
Mehmet Ozgur Turkoglu
Texture-Based Eyebrow Recognition
  • eyebrow recognition
  • texture-based
  • local descriptor
  • WLD
  • 3-patch LBP
  • 4-patch LBP
12:45 Lunch-Break
Ulrich Scherhag
Hochschule Darmstadt
Ulrich Scherhag
Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting
  • Biometrics
  • Morphing
  • Performance Reporting
  • Attack Detection
Sushil Bhattacharjee
Idiap Research Institute
What you can't see can help you
Extended-range imaging for 3D-mask presentation attack detection
  • Presentation Attack Detection
  • 3D-Masks
  • Extended-range imaging
  • Near Infrared (NIR)
  • Long-wave Infrared (LWIR)
  • Thermal imagery
Héctor Delgado
Héctor Delgado
Impact of bandwidth and channel variation on presentation attack detection for speaker verification
  • presentation attack detection
  • speaker verification
  • bandwidth and channel variation
15:25 Break
Mark Nixon
University of Southampton
Mark Nixon
Soft Biometrics: Identification by Face, Body and Clothing

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.

Christoph Busch
Hochschule Darmstadt
Christoph Busch
Awards/ Closing Remarks

Anmeldung und Preise

Generell können Sie sich bis zum Veranstaltungstag anmelden. Stichtag für eine Anmeldung zum Frühbucherrabatt ist der 10.09.2017, danach gilt der normale Teilnehmerbetrag. Um den Workshop optimal vorbereiten zu können bitten wir Sie, von dieser Möglichkeit Gebrauch zu machen. Für Schüler, Auszubildende und Studenten können Sonderkonditionen eingeräumt werden.

Bei Anmeldung ... bis zum Stichtag nach dem Stichtag
Teilnahmegebühr des Workshops 400,00 € 480,00 €
für Inhaber eines CAST-Leistungspaketes 200,00 € 240,00 €
full time PhD students 240,00 € 290,00 €
Master-Students 80,00 € 100,00 €

Alle Preise inkl. 7% MwSt.

Um den reduzierten Tarif in Anspruch nehmen zu können, beantragen Sie bitte umgehend das CAST Leistungspaket.

Informationen und Kontakt

Wenn Sie noch Fragen haben, wenden Sie sich bitte an:


Christoph Busch
Tel.: +49 (0) 6151/16-30090


Claudia Prediger
Tel.: +49 6151 869-230

Bitte beachten Sie, dass wir Anmeldungen zu unseren Veranstaltungen nur über das Online-Formular nicht jedoch über unsere Fax-Nummern entgegen nehmen können.