0000000000645924

AUTHOR

Audrey Poinsot

showing 3 related works from this author

Palmprint and Face Score Level Fusion for Contactless Small Sample Biometric Recognition and Verification

2010

International audience

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR][INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR][ INFO.INFO-AR ] Computer Science [cs]/Hardware Architecture [cs.AR]ComputingMilieux_MISCELLANEOUS
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Palmprint and face score level fusion: hardware implementation of a contactless small sample biometric system

2011

Including multiple sources of information in personal identity recognition and verification gives the opportunity to greatly improve performance. We propose a contactless biometric system that combines two modalities: palmprint and face. Hardware implementations are proposed on the Texas Instrument Digital Signal Processor and Xilinx Field-Programmable Gate Array (FPGA) platforms. The algorithmic chain consists of a preprocessing (which includes palm extraction from hand images), Gabor feature extraction, comparison by Hamming distance, and score fusion. Fusion possibilities are discussed and tested first using a bimodal database of 130 subjects that we designed (uB database), and then two …

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]Image fusion[INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR]BiometricsComputer sciencebusiness.industryFeature extractionGeneral EngineeringWord error rate020207 software engineeringImage processing02 engineering and technologyFacial recognition systemAtomic and Molecular Physics and OpticsMultimodal biometricsPattern recognition (psychology)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligence[ INFO.INFO-AR ] Computer Science [cs]/Hardware Architecture [cs.AR]businessComputer hardware
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Small Sample Biometric Recognition Based on Palmprint and Face Fusion

2009

Contactless biometrics provide high comfort and hygiene in person recognition. Because of this, such systems are better accepted by the general public. This paper proposes an adaptive, contactless, biometric system which combines two modalities: palmprint and face. The processing chain has been designed to overcome embedded system constraints and small sample set problem: after a palmprint is extracted from a hand image, Gabor filters are applied to both the palmprint and face in order to extract parameters, which are then used for classification. Fusion possibilities are also discussed and tested using a multimodal database of 130 people designed by the authors. High recognition performanc…

Image fusionModality (human–computer interaction)BiometricsPixelComputer sciencebusiness.industryFeature extractionPattern recognitionContext (language use)Facial recognition systemFace (geometry)Computer visionArtificial intelligencebusiness2009 Fourth International Multi-Conference on Computing in the Global Information Technology
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