Appearance-based bidirectional representation for palmprint recognition

作者: Jinrong Cui , Jiajun Wen , Zizhu Fan

DOI: 10.1007/S11042-014-1887-4

关键词: Sample (statistics)Artificial intelligenceWeightingPattern recognition (psychology)Expression (mathematics)Class (biology)Computer scienceRepresentation (mathematics)Pattern recognitionComputer visionFeature (machine learning)Media TechnologyComputer Networks and CommunicationsHardware and ArchitectureSoftware

摘要: The palmprint recognition methods can be categorized as the feature-based and appearance-based methods. conventional representation merely express test sample a weighting sum of training samples exploit deviation between from each class for classification. In this paper we exploited an method called bidirectional based pattern classification (BRBPC) on recognition. BRBPC algorithm not only used to sample, but also take into account expression sample. Experiments PolyU multi-spectral database 2D 3D show that proposed outperforms

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