Feature detection from local energy
Pattern Recognition Letters
On the classification of image features
Pattern Recognition Letters
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Signal Processing for Computer Vision
Signal Processing for Computer Vision
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Palmprint Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Competitive Coding Scheme for Palmprint Verification
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Large-Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iris Feature Extraction Using 2D Phase Congruency
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Palmprint identification using feature-level fusion
Pattern Recognition
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
Finger-Knuckle-Print Verification Based on Band-Limited Phase-Only Correlation
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Finger surface as a biometric identifier
Computer Vision and Image Understanding
Personal authentication using finger knuckle surface
IEEE Transactions on Information Forensics and Security
Online finger-knuckle-print verification for personal authentication
Pattern Recognition
Journal of Mathematical Imaging and Vision
Adaptive fingerprint pore modeling and extraction
Pattern Recognition
Encyclopedia of Biometrics
Finger-knuckle-print: a new biometric identifier
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Features extraction from hand images based on new detection operators
Pattern Recognition
Ensemble of local and global information for finger-knuckle-print recognition
Pattern Recognition
Analog Integrated Circuits and Signal Processing
A Comparative Study of Palmprint Recognition Algorithms
ACM Computing Surveys (CSUR)
IEEE Transactions on Signal Processing
Nonlinear image operators for the evaluation of local intrinsic dimensionality
IEEE Transactions on Image Processing
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
Expert Systems with Applications: An International Journal
A new approach for inner-knuckle-print recognition
Journal of Visual Languages and Computing
Information Sciences: an International Journal
A finger-knuckle-print recognition algorithm using phase-based local block matching
Information Sciences: an International Journal
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Researchers have recently found that the finger-knuckle-print (FKP), which refers to the inherent skin patterns of the outer surface around the phalangeal joint of one's finger, has high discriminability, making it an emerging promising biometric identifier. Effective feature extraction and matching plays a key role in such an FKP based personal authentication system. This paper studies image local features induced by the phase congruency model, which is supported by strong psychophysical and neurophysiological evidences, for FKP recognition. In the computation of phase congruency, the local orientation and the local phase can also be defined and extracted from a local image patch. These three local features are independent of each other and reflect different aspects of the image local information. We compute efficiently the three local features under the computation framework of phase congruency using a set of quadrature pair filters. We then propose to integrate these three local features by score-level fusion to improve the FKP recognition accuracy. Such kinds of local features can also be naturally combined with Fourier transform coefficients, which are global features. Experiments are performed on the PolyU FKP database to validate the proposed FKP recognition scheme.