Image Representation Using 2D Gabor Wavelets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Online Palmprint Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fisherpalms based palmprint recognition
Pattern Recognition Letters
The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space
Journal of Mathematical Imaging and Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of 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
Signal modeling for two-dimensional image structures
Journal of Visual Communication and Image Representation
Palmprint Verification for Controlling Access to Shared Computing Resources
IEEE Pervasive Computing
Palmprint verification based on principal lines
Pattern Recognition
Handbook of Biometrics
Palmprint verification based on robust line orientation code
Pattern Recognition
A survey of palmprint recognition
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of biometric technology based on hand shape
Pattern Recognition
Palmprint verification using binary orientation co-occurrence vector
Pattern Recognition Letters
Ordinal Measures for Iris Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finger surface as a biometric identifier
Computer Vision and Image Understanding
Personal authentication using finger knuckle surface
IEEE Transactions on Information Forensics and Security
An automated palmprint recognition system
Image and Vision Computing
Multiresolution monogenic signal analysis using the Riesz-Laplace wavelet transform
IEEE Transactions on Image Processing
Online finger-knuckle-print verification for personal authentication
Pattern Recognition
Wavelet steerability and the higher-order Riesz transform
IEEE Transactions on Image Processing
Steerable wavelet frames based on the Riesz transform
IEEE Transactions on Image Processing
Journal of Mathematical Imaging and Vision
Finger-knuckle-print: a new biometric identifier
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A multi-manifold discriminant analysis method for image feature extraction
Pattern Recognition
Ensemble of local and global information for finger-knuckle-print recognition
Pattern Recognition
IEEE Transactions on Signal Processing
A new approach for inner-knuckle-print recognition
Journal of Visual Languages and Computing
A finger-knuckle-print recognition algorithm using phase-based local block matching
Information Sciences: an International Journal
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Biometrics authentication is an effective method for automatically recognizing a person's identity with high confidence. It is well recognized that in biometric systems feature extraction and representation are key considerations. Among various feature extraction and representation schemes, coding-based methods are most attractive because they have the merits of high accuracy, robustness, compactness and high matching speed, and thus they have been adopted in many different kinds of biometric systems, such as iris, palmprint, and finger-knuckle-print based ones. However, how to devise a good coding scheme is still an open issue. Recent studies in image processing and applied mathematics have shown that local image features can be well extracted with Riesz transforms in a unified framework. Thus, in this paper we propose to utilize Riesz transforms to encode the local patterns of biometric images. Specifically, two Riesz transforms based coding schemes, namely RCode1 and RCode2, are proposed. They both use 3-bits to represent each code and employ the normalized Hamming distance for matching. RCode1 and RCode2 are thoroughly evaluated and compared with the other 3-bit coding methods on a palmprint database and a finger-knuckle-print database. Experiments show that the proposed methods, especially RCode2, could achieve quite similar verification accuracies with the state-of-the-art method (CompCode) while they need much less time at the feature extraction stage, which renders them better candidates for time critical applications.