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.

Sparse Representations and Random Projections for Robust and Cancelable Biometrics / Patel, V; Chellappa, R; Tistarelli, Massimo. - (2010), pp. 1-6. ((Intervento presentato al convegno 2010 11th International Conference on Control Automation Robotics & Vision (ICARCV) tenutosi a Singapore nel 7-10 december 2010 [10.1109/ICARCV.2010.5707955].

Sparse Representations and Random Projections for Robust and Cancelable Biometrics

TISTARELLI, Massimo
2010-01-01

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.
978-1-4244-7814-9
Sparse Representations and Random Projections for Robust and Cancelable Biometrics / Patel, V; Chellappa, R; Tistarelli, Massimo. - (2010), pp. 1-6. ((Intervento presentato al convegno 2010 11th International Conference on Control Automation Robotics & Vision (ICARCV) tenutosi a Singapore nel 7-10 december 2010 [10.1109/ICARCV.2010.5707955].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/75297
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