Feature Extraction of Dorsal Hand Vein Pattern Using a Fast Modified PCA Algorithm Based On Cholesky Decomposition and Lanczos Technique
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Summary
Principle Component Analysis (PCA), which is a successful method, originally applied on face biometric is being modified using Cholesky decomposition and Lanczos algorithm to extract the dorsal hand vein features to decrease the number of computation and hence the processing time.
- Type
- article
- Published
- 2010-01-22
- Cited by
- 19
- References
- 21
- Access
- Open access
- OpenAlex
- https://openalex.org/W1832877308
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15380664
Keywords
Cholesky decomposition, Lanczos resampling, Minimum degree algorithm, Algorithm, Pattern recognition (psychology)
References
- Hand Vein Biometric Verification Prototype: A Testing Performance and Patterns Similarity
- A study of the eigenface approach for face recognition
- Numerical Methods for Large Eigenvalue Problems
- Low Dimensional Representation of Dorsal Hand Vein Features Using Principle Component Analysis (PCA)
- Human Hand Recognition Using IPCA-ICA Algorithm
- Near- and Far- Infrared Imaging for Vein Pattern Biometrics
- Minutiae feature analysis for infrared hand vein pattern biometrics
- Face recognition using Eigenfaces
- Face recognition using eigenfaces
- Thermographic imaging of the subcutaneous vascular network of the back of the hand for biometric identification
- Numerical methods for large eigenvalue problems
- Image Processing, Analysis and Machine Vision
- Near-Infrared Dorsal Hand Vein Image Segmentation by Local Thresholding Using Grayscale Morphology
- Biometric verification using thermal images of palm-dorsa vein patterns
- Biometric Authentication Using Fast Correlation of Near Infrared Hand Vein Patterns
- Representation of Hand Dorsal Vein Features Using a Low Dimensional Representation Integrating Cholesky Decomposition
- Extracting Hand Vein Patterns from Low-Quality Images: A New Biometric Technique Using Low-Cost Devices
- Thermographic Imaging of the Subcutaneous Vascular Network of the Back of the Hand for Biometric Identification
- A Multimodal Hand Vein, Hand Geometry, and Fingerprint Prototype Design for High Security Biometrics
- AN IMPLICITLY RESTARTED LANCZOS METHOD FOR LARGE SYMMETRIC EIGENVALUE PROBLEMS
Cited by
- Technique to generate face and palm vein-based fuzzy vault for multi-biometric cryptosystem
- An Efficient Hand Dorsal Vein Recognition Based on Neural Networks
- Comparative analysis of Palm-Vein recognition system using basic transforms
- Feature extraction from vein images using spatial information and chain codes
- Finger vein recognition using LBP variance with global matching
- Design of a Vein Based Personal Identification System
- An Approach for Hand Vein Representation and Indexing
- Impact of Changing Parameters when Preprocessing Dorsal Hand Vein Pattern
- Performance Enhancement of Identification System using Vein Biometric with Modified Run Length Encoding, Stegnography and Cryptography
- Vascular Pattern Recognition: And its Application in Privacy-Preserving Biometric Online-Banking Systems
- Veins Based Personal Identification Systems: A Review
- On the influence of anisotropic diffusion filter on dorsal hand authentication using eigenveins
- Dorsal hand vein recognition based on convolutional neural networks
- Biometric recognition using finger and palm vein images
- Dorsal Hand Vein Biometric Systems: A Survey on Methods, Applications, and Future Directions
- BIOMETRIC RECOGNITION USING DORSAL AND PALM VEIN IMAGES
- Vein Pattern Recognition Using Chain Codes Spatial Information and Skeleton Fusing
- Palm-dorsa Vein Recognition Based on Kernel Principal Component Analysis and Fisher Linear Discriminant ⋆
- STATE OF ART : HAND BIOMETRIC
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