Referenced Items are not available for this document.
This letter presents a novel framework for gait recognition augmented with soft biometric information. Geometric gait analysis is based on Radon transforms and on gait energy images. User height and stride length information is extracted and utilized in a probabilistic framework for the detection of soft biometric features of substantial discrimination power. Experimental validation illustrates that the proposed approach for integrating soft biometric features in gait recognition advances significantly the identification and authentication performance.
Published in:
Signal Processing Letters, IEEE
(Volume:17
,
Issue:
4
)
Date of Publication: April 2010
- Page(s):
- 367 - 370
- ISSN :
- 1070-9908
- INSPEC Accession Number:
- 11168442
- Digital Object Identifier :
- 10.1109/LSP.2010.2040927
- Date of Publication :
- 22 January 2010
- Date of Current Version :
- 17 February 2010
- Issue Date :
- April 2010
- Sponsored by :
- IEEE Signal Processing Society
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