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DTSTAMP:20201211T213920Z
UID:FF758760-06E9-4904-821C-4596F43ABBEC
DTSTART;TZID=CET:20201211T153000
DTEND;TZID=CET:20201211T163000
DESCRIPTION:Finger-vein\, or finger vascular pattern recognition is an upco
 ming form biometric recognition that combines a good recognition performan
 ce with an inherent robustness against presentation attacks in the sense t
 hat it does not leave traces. The first step in the recognition process is
  the acquisition of a gray-scale image in which the vascular pattern is vi
 sible as dark lines. From this image relevant features are extracted for r
 ecognition. In this webinar I will describe recent work at the University 
 of Twente in which we developed a physical model of the finger. The purpos
 e of that model is to better understand the imaging process of finger vasc
 ular patterns\, leading on the longer term to better sensors and improved 
 recognition performance. The first results give new insights in the role o
 f soft tissue\, bone and joints in the imaging process. Based on the model
  we developed finger phantoms that can be used to support the development 
 of sensors and that can provide ground truth for finger-vein detection.\n\
 nCo-sponsored by: Roma Tre University\, Dept. of Engineering\, Section of 
 Applied Electronics\n\nSpeaker(s): Raymond Veldhuis\, \n\nVirtual: https:/
 /events.vtools.ieee.org/m/248717
LOCATION:Virtual: https://events.vtools.ieee.org/m/248717
ORGANIZER:patrizio.campisi@uniroma3.it
SEQUENCE:5
SUMMARY:Modeling the finger-vein imaging process
URL;VALUE=URI:https://events.vtools.ieee.org/m/248717
X-ALT-DESC:Description: <br /><p>Finger-vein\, or finger vascular pattern r
 ecognition is an upcoming form biometric recognition that combines a good 
 recognition performance with an inherent robustness against presentation a
 ttacks in the sense that it does not leave traces. The first step in the r
 ecognition process is the acquisition of a gray-scale image in which the v
 ascular pattern is visible as dark lines. From this image relevant feature
 s are extracted for recognition. In this webinar I will describe recent wo
 rk at the University of Twente in which we developed a physical model of t
 he finger. The purpose of that model is to better understand the imaging p
 rocess of finger vascular patterns\, leading on the longer term to better 
 sensors and improved recognition performance. The first results give new i
 nsights in the role of soft tissue\, bone and joints in the imaging proces
 s. Based on the model we developed finger phantoms that can be used to sup
 port the development of sensors and that can provide ground truth for fing
 er-vein detection.</p>
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