User identification

PROJECT

European Virtual Learning Platform for Electrical and Information Engineering
http://www.techepdia.eu

This project has been funded with support from the European Commission.
This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

AUTHOR

Renata Rybárová, Juraj Kačur, Onderj Lábaj, Gregor Rozinaj

ANNOTATION

User identification, authorization and authentication assure that the system is only used by certain users and only commands which are properly authorized are performed. The speaker identification tends to provide basic identification of the possible users located in the system installation area. This would be suitable for identification tasks, such as loading personal profile. The face detection approach aims to provide more reliable user identification based on users’ faces which contain far more characteristics that can be parameterized in comparison to the voice identification approach. Additionally, the 3D face recognition further extends the possibilities of feature extraction in order to more precisely identify particular persons and can be thus used for the highest level authentication (and authorization) for the most demanding applications (e.g. bank account login, etc.).

OBJECTIVES

The main goal of the module is to introduce a student to the fundamental of user identification, authentication and authorization processes. The student is clearly acquainted with the base principles of speaker identification, user identification based on 2D and 3D techniques of face recognition, authentication methods and user authorization.

KEYWORDS

Speaker recognition, speaker identification, speech features, classification, face recognition, authorization, authentication.

LITERATURE

[1] Abate, Andrea F.; Nappi, Michele; Riccio, Daniel; Sabatino, Gabriele. 2D and 3D face recognition: A survey In: Pattern Recognition Letters, Volume 28, Issue 14, 15 October 2007, Pages 1885–1906. available at www.sciencedirect.com.
[2] T. Kinnunen, H. Li, An overview of text-independent speaker recognition: from features to supervectors, Speech communication, Vol. 52, pp. 12-40, Elsevier, 2010
[3] Probst, Michael; Schumann, Sebastian; Rozinaj, Gregor; Minarik, Ivan; Rybárová, Renata; Oravec, Miloš. EVALUATION: Final Multimodal Interface for User/Group-Aware Personalisation, Deliverable 5.5.1, available at http://www.hbb-next.eu/index.php/documents, Decmber 2013.
[4] Bán, Jozef; Féder, Matej; Oravec, Miloš; Pavlovičová, Jarmila. Face Recognition of Images Corrupted by Transmission Errors. In: Redžúr 2012: proceedings; 6th International Workshop on Multimedia and Signal Processing. April 11, 2012, Vienna, Austria. Bratislava: Nakladateľstvo STU, 2012. pp. 15-18, ISBN 978-80-227-3686-2
[5] Rozinaj, Gregor; Minarik, Ivan; Rybárová, Renata; Pavlovičová, Jarmila; Mármol, Félix Gómez; Tormo, Ginés Dólera, Gülbahar, Mark; Schumann, Sebastian. DESIGN AND PROTOCOL: Final User ID, Profile, Application Reputation Framework, Deliverable 3.4.1, available at http://www.hbb-next.eu/index.php/documents, Decmber 2013.
[6] Schneier, Bruce. Sensible Authentication, ACM Queue 1, Volume 1 Issue 10, February 2004. Pages 74.
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[8] Haskett, J.A., Pass-Algorithms: A User Validation Scheme Based on Knowledge of Secret Algorithms In Communications of the ACM 27, 1984.
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[10] Cranor, L.F.; Garfinkel, S. Security and Usability, O'Reilly, August 2005. ISBN 0-596-00827-9.
[11] Vacca, J.R. Computer and Information Security Handbook, Morgan Kaufmann, 2009. ISBN 978-0-12-374354-1.
[12] Gattiker, U. E. The Information Security Dictionary, KLUWER ACADEMICPUBLISHERS, 2004. ISBN 1-4020-7927-3.

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