Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Liveness Detection of Fingerprints using Multi-static Features

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  • Kang, Rae-Choong (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Choi, Hee-Seung (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Kim, Jai-Hie (School of Electrical and Electronic Engineering, Yonsei University)
  • 강래충 (연세대학교 전기전자공학과) ;
  • 최희승 (연세대학교 전기전자공학과) ;
  • 김재희 (연세대학교 전기전자공학과)
  • Published : 2007.07.11
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Abstract

Fake fingersubmission to the sensor is a major problem in fingerprint recognition systems. In this paper, we introduce a novel liveness detection method using multi-static features. For convenience and usefulness of field application, static features are only considered to detect 'live' and 'fake' fingerprint images. Individual pore spacing, noise of image and first order statistics of image are analyzed as our static features to reflect the Physiological and statistical characteristics of live and fake fingerprint.

Keywords