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COMPUTATIONAL INTELLIGENCE FOR BIOMETRICS

March 28, 2018 @ 6:30 pm - 8:00 pm

Co-sponsored by: NoVA/WASH CIS (Joel Goodman, George Stantchev), WASH Signal Processing Society (Min Wu), NoVA/WASH Computer Society (Jerry Gibbon)

In the first installment of this year’s lecture series, we are delighted to feature a talk by Dr. Vincenzo Piuri, Professor at the University of Milan, and an IEEE Distinguished Lecturer.

Abstract: Biometrics concerns the study of automated methods for identifying an individual by measuring one or more physical or behavioral features of him. Certain physical human features or behaviors are characteristics that are specific and can be uniquely associated to one person. Retinas, iris, DNA, fingerprint, palm print, or pattern of finger lengths are typical physical features that are specific to individuals. Also the voice print, gait, or handwriting can be used to this purpose.

Nowadays biometrics is rapidly evolving. This science is getting more and more accurate in recognizing and identifying persons and behaviors. Consequently, these technologies become more and more attractive and effective in critical applications, such as to create safe personal IDs, to control the access to personal information or physical areas, to recognize terrorists or criminals, to study the movements of people, and to monitor the human behavior.

The use of biometrics in the real life often requires very complex signal and image processing and scene analysis, for example encompassing biometric feature extraction and identification, individual tracking, face tracking, eye tracking, liveness/anti-spoofing tests, and facial expression recognition.

Computational intelligence techniques (including neural networks, fuzzy logic, evolutionary computing, and multi-agent systems) have been proved to be useful and effective in addressing this kind of data processing, especially when it is difficult to identify an algorithm while sufficiently descriptive examples are available, or when fuzzy descriptions are more natural to capture the essence of the problem, or when complex non-linear optimization is needed, or when multiple agents cooperate in solving the application problem. The relevance of computational intelligence to contribute in solving these applications has been shown both in the design process of the solution as well as technological component of the solution itself.

This talk will review the domain of biometrics, its applications in various domains and the relevance of computational intelligence to effectively solve various problems in these applications.

Speaker(s): Prof. Vincenzo Piuri,

Agenda:

6:30-7:00pm Light dinner and refreshments

7:00-7:45pm Lecture

7:45-8:00pm Q&A and networking

If arriving by car, feel free to use parking lot 11b, which is open for general access after 4pm. If arriving by Metro, free shuttle service is available from the College Park station to campus

Location:
Room: 2460
Bldg: A.V. Williams
University of Maryland
College Park, Maryland

Details

Date:
March 28, 2018
Time:
6:30 pm - 8:00 pm
Website:
http://events.vtools.ieee.org/m/170350

Organizer

[email protected]