Hand Vein Biometric Verification Prototype: A Testing Performance and Patterns Similarity
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Summary
The major goal of this work is to use the combined image processing and pattern recognition knowledge in implementing the Hand Vein Verification System (HVVS) as a comparison between a person's hand vein images and the claimed identity hand vein image based on image matching in order to get a comparable or higher accuracies than those reported in the literature for hand vein verification.
- Type
- article
- Published
- 2006-01-01
- Cited by
- 108
- References
- 23
- OpenAlex
- https://openalex.org/W2741948
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8767053
Keywords
Biometrics, Computer science, Similarity (geometry), Artificial intelligence, Pattern recognition (psychology)
References
- INFRA‐RED PHOTOGRAPHY OF SUBCUTANEOUS VEINS
- On-line fingerprint verification
- Probability, random variables and stochastic processes
- Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion
- Visualization of dynamic subcutaneous vasomotor response by computer-assisted thermography
- Biometric authentication by hand vein patterns
- A rule-based, adaptive window-size filter for the enhancement of subcutaneous vascular patterns in thermographic images
- Filterbank-based fingerprint matching
- Image Processing, Analysis and Machine Vision
- Biometric verification using thermal images of palm-dorsa vein patterns
- Biometric Identification through Hand Geometry Measurements
- Mapped hemodynamic data acquisition by near infrared CCD imaging
- A computer-assisted thermography system for the extraction, visualization and tracing of subcutaneous peripheral venous patterns
- Thermographic Imaging of the Subcutaneous Vascular Network of the Back of the Hand for Biometric Identification
- Pattern Recognition
- Image Based Measurement Systems
- An biometric identification system by extracting hand vein patterns
- Pattern Recognition: Statistical, Structural and Neural Approaches
- Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification
Cited by
- Biometric person identification using near-infrared hand-dorsa vein images
- An Efficient Hand Dorsal Vein Recognition Based on Neural Networks
- Dorsal hand vein biometric using Independent Component Analysis (ICA)
- Hand dorsal vein recognition: Sensor, algorithms and evaluation
- Analysis of the hand vein pattern for people recognition
- Low Dimensional Representation of Dorsal Hand Vein Features Using Principle Component Analysis (PCA)
- Feature Extraction of Dorsal Hand Vein Pattern Using a Fast Modified PCA Algorithm Based On Cholesky Decomposition and Lanczos Technique
- Contact-Less Palm/Finger Vein Biometrics
- Radiation optimization and image processing algorithms in the identification of hand vein patterns
- Development of an image acquisition system for hand vein based on an embedded system
- Analysing Factors Affecting Hand Biometrics during Image Capture
- A Real-Time Palm Dorsa Subcutaneous Vein Pattern Recognition System Using Collaborative Representation-Based Classification
- Rotation correction of DHV images using entropy minimization of boundary descriptor
- Enhancement of Vein Patterns in Hand Image for Biometric and Biomedical Application using Various Image Enhancement Techniques
- Palm-dorsa vein recognition based on independent principle component analysis
- Hand-Dorsa Vein Recognition by Matching Local Features of Multisource Keypoints
- Experimental evaluation of an ultrasound technique for the biometric recognition of human hand anatomic elements.
- Vein Pattern Extraction Based on the Position-Gray-Profile Curve
- A Dorsal Hand Vein Recognition-based on Local Gabor Phase Quantization with Whitening Transformation
- Spectral minutiae for vein pattern recognition
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