Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Competitive Coding Scheme for Palmprint Verification
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Ordinal Palmprint Represention for Personal Identification
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Objective Image Fusion Performance Characterisation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Comparative Image Fusion Analysais
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Near- and Far- Infrared Imaging for Vein Pattern Biometrics
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Remote sensing image fusion using the curvelet transform
Information Fusion
The curvelet transform for image denoising
IEEE Transactions on Image Processing
Biometric verification using thermal images of palm-dorsa vein patterns
IEEE Transactions on Circuits and Systems for Video Technology
Online joint palmprint and palmvein verification
Expert Systems with Applications: An International Journal
A Comparative Study of Palmprint Recognition Algorithms
ACM Computing Surveys (CSUR)
Multispectral palmprint recognition using Image-Based Linear Discriminant Analysis
International Journal of Biometrics
A contactless biometric system using multiple hand features
Journal of Visual Communication and Image Representation
An approach to SWIR hyperspectral hand biometrics
Information Sciences: an International Journal
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Hand biometrics, including fingerprint, palmprint, hand geometry and hand vein pattern, have obtained extensive attention in recent years. Physiologically, skin is a complex multi-layered tissue consisting of various types of components. Optical research suggests that different components appear when the skin is illuminated with light sources of different wavelengths. This motivates us to extend the capability of camera by integrating information from multispectral palm images to a composite representation that conveys richer and denser pattern for recognition. Besides, usability and security of the whole system might be boosted at the same time. In this paper, comparative study of several pixel level multispectral palm image fusion approaches is conducted and several well-established criteria are utilized as objective fusion quality evaluation measure. Among others, Curvelet transform is found to perform best in preserving discriminative patterns from multispectral palm images.