Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Face Recognition in Hyperspectral Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of palmprint recognition
Pattern Recognition
A survey of biometric technology based on hand shape
Pattern Recognition
Complex wavelet structural similarity: a new image similarity index
IEEE Transactions on Image Processing
Comparative studies on multispectral palm image fusion for biometrics
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Finger vein recognition with manifold learning
Journal of Network and Computer Applications
Feature Band Selection for Multispectral Palmprint Recognition
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Studies on hyperspectral face recognition in visible spectrum with feature band selection
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A lattice matrix method for hyperspectral image unmixing
Information Sciences: an International Journal
Multifeature-Based High-Resolution Palmprint Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ensemble of local and global information for finger-knuckle-print recognition
Pattern Recognition
Human Identification Using Palm-Vein Images
IEEE Transactions on Information Forensics and Security
Hand-Shape Biometrics Combining the Visible and Short-Wave Infrared Bands
IEEE Transactions on Information Forensics and Security
Cascaded classification of high resolution remote sensing images using multiple contexts
Information Sciences: an International Journal
Computerized facial diagnosis using both color and texture features
Information Sciences: an International Journal
A vector-valued support vector machine model for multiclass problem
Information Sciences: an International Journal
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Hand based biometry includes some of the most useful technologies for person identification. The search for new techniques, which complement the battery of existing methods, is an open topic. This paper examines the utility of hyperspectral imagery for hand recognition. Hyperspectral technology permits the sensing of the subsurface tissue structure, which is significantly different from person to person. The data are collected using a SWIR camera in conjunction with an optical spectrograph. This transforms the camera into a line-scan hyperspectral imaging device. Three feature extraction methods for hyperspectral hand curve characterization are examined. They are based on the area, slope or curvature at different automatically selected spatial hand positions. We report a set of experiments which explore: best hand zones for extracting local hyperspectral features; robustness against the number of training samples; error detection; and occlusion. Different strategies for combining the spectral features with geometric traits available in the hyperspectral cube are discussed. Our experiments show that local spectral properties of human tissue are effective discriminants for biometric recognition with a performance near to or better than that obtained by other hand traits. Equal Error Rates of 0.05% and an identification rate of 96.71% are obtained from a database of 154 people. These results along with their higher robustness to spoofing attacks make the hyperspectral features a promising alternative for person identification.