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Sparse representations and random projections for robust and cancelable biometrics

Patel, Vishal M. and Chellappa, Rama and Tistarelli, Massimo (2011) Sparse representations and random projections for robust and cancelable biometrics. In: 11th International Conference on Control Automation Robotics & Vision (ICARCV), 2010, 7-10 December 2010, Singapore. Piscataway, IEEE. p. 1-6. ISBN 978-1-4244-7814-9. Conference or Workshop Item.

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DOI: 10.1109/ICARCV.2010.5707955

Abstract

In recent years, the theories of Sparse Representation (SR) and Compressed Sensing (CS) have emerged as powerful tools for efficiently processing data in non-traditional ways. An area of promise for these theories is biométrie identification. In this paper, we review the role of sparse representation and CS for efficient biométrie identification. Algorithms to perform identification from face and iris data are reviewed. By applying Random Projections it is possible to purposively hide the biométrie data within a template. This procedure can be effectively employed for securing and protecting personal biométrie data against theft. Some of the most compelling challenges and issues that confront research in biometrics using sparse representations and CS are also addressed.

Item Type:Conference or Workshop Item (Contribute)
ID Code:7022
Status:Published
Uncontrolled Keywords:Cancelable biometrics, face recognition, iris recognition, random projections, sparse representations
Subjects:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 Sistemi di elaborazione delle informazioni
Divisions:001 Università di Sassari > 01 Dipartimenti > Architettura e pianificazione
Publisher:IEEE
Copyright Holders:© 2010 IEEE
ISBN:978-1-4244-7814-9
Deposited On:26 Jan 2012 10:39

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