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VISTA is a project whose overall objectives are strengthening of technology transfer and commercialization capacities of partner HEIs, transfer of existing computer vision applications from HEIs to SMEs, and developing new traffic- and transportation-related computer vision applications with commercial potential in collaboration with SMEs in the automotive industry sector.

The project is funded from the Regional Competitiveness Operational Programme 2007 - 2011 for Community Assistance under the IPA Regional Development Component in Croatia.

Published: 2014-05-22 at 10:01
Lecture "Biometric Recognition:...

Department of Computing, the Croatian Section of IEEE and COST Action IC1206 "De-identification for Privacy Protection in Multimedia Content" invite you to a lecture

"Biometric Recognition: Some Challenges in Forensics"


from Professor Anil K. Jain, Michigan State University, USA, world's leading scientist in the field of pattern recognition, computer vision and biometric identification. 


The lecture will be held on Tuesday, May 27 at 10 am in the Grey Hall.

Summary of lectures and biography of this renowned speakers are located below the notification.


Biometric Recognition: Some Challenges in Forensics

Anil K. Jain

Michigan State University


If you are like many people, navigating the complexities of everyday life depends on an array of cards and passwords that confirm your identity. But lose a card, and your ATM will refuse to give you money. Forget a password, and your own computer may balk at your command. Allow your card or passwords to fall into the wrong hands, and what were intended to be security measures can become the tools of fraud or identity theft. Biometrics—the automated recognition of people via distinctive anatomical and behavioral traits—has the potential to overcome many of these problems.

Biometrics is not a new idea. Pioneering work by several British scholars, including Fauld, Galton and Henry in the late 19th century established that fingerprints exhibit a unique pattern that persists over time. This set the stage for the development of Automatic Fingerprint Identification Systems that are now used by law enforcement agencies worldwide. The success of fingerprints in law enforcement coupled with growing concerns related to homeland security, financial fraud and identity theft has generated renewed interest in research and development in biometrics. It is, therefore, not surprising to see biometrics-based authentication permeating our society (laptops and mobile phones, border crossing, civil registration, and access to secure facilities). Despite these successful deployments, there are challenges related to biometric data acquisition, image quality, robust matching, system security and user privacy. This talk will introduce four challenging problems of particular interest in law enforcement and forensics: (i) face sketch to photo matching, (ii) latent fingerprint matching, (iii) fingerprint obfuscation and (iv) scars, marks & tattoos (SMT).



Anil Jain is a University Distinguished Professor in the Department of Computer Science at Michigan State University where he conducts research in pattern recognition, computer vision and biometrics. He has received Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society Technical Achievement award, IEEE W. Wallace McDowell award, IAPR King-Sun Fu Prize, and ICDM Research Award. He served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence (1991-94) and is a Fellow of ACM, IEEE, AAAS, IAPR and SPIE. Holder of eight patents in biometrics, he is the author of several books on biometrics and pattern recognition. He served as a member of the National Academies panels on Information Technology, Whither Biometrics and Improvised Explosive Devices (IED). He was a member of the Defense Science Board.

Professor A. Jain has 109239 citations (h-index 142) /Google scholar/.

More: http://www.cse.msu.edu/~jain/

Iva Harbaš
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This project is cofinanced by the European Union from the European Regional Development Fund.


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