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The Resonant Retina: Exploiting Vibration Noise to Optimally Detect Edges in an Image
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2003
Year
EngineeringBiometricsFeature ExtractionFingerprint AnalysisPalmprint TechnologyImage AnalysisPattern RecognitionNoiseComputational ImagingSoft BiometricsComputational PhotographyEdge DetectionResonant RetinaOptimally Detect EdgesExploiting Vibration NoiseSpatial FilteringMedical Image ComputingOptical Image RecognitionPalmprint Feature ExtractionComputer VisionHuman IdentificationBiomedical ImagingImage Denoising
Biometrics-based personal identification is regarded as an effective method for automatically recognizing a person's identity with high confidence. The study introduces an online palmprint identification method that uses low‑resolution images for effective personal identification. The system employs a custom acquisition device and a fast recognition algorithm that aligns images with a robust coordinate system and extracts features via a 2D Gabor phase encoding scheme. Experiments confirm the feasibility of the proposed online palmprint identification system.
—Biometrics-based personal identification is regarded as an effective method for automatically recognizing, with a high confidence, a person's identity. This paper presents a new biometric approach to online personal identification using palmprint technology. In contrast to the existing methods, our online palmprint identification system employs low-resolution palmprint images to achieve effective personal identification. The system consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition. A robust image coordinate system is defined to facilitate image alignment for feature extraction. In addition, a 2D Gabor phase encoding scheme is proposed for palmprint feature extraction and representation. The experimental results demonstrate the feasibility of the proposed system.