Robotics: control, sensing, vision, and intelligence
Robotics: control, sensing, vision, and intelligence
CVGIP: Graphical Models and Image Processing
IEEE Spectrum
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pyramid edge detection based on stack filter
Pattern Recognition Letters
Unconstrained Automatic Image Matching Using Multiresolutional Critical-Point Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Decomposition of Multiscale Skeletons
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Palmprint recognition using eigenpalms features
Pattern Recognition Letters
Fuzzy Directional Element Energy Feature (FDEEF) Based Palmprint Identification
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Palmprint Texture Analysis Based on Low-Resolution Images for Personal Authentication
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Personal verification using palmprint and hand geometry biometric
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Dual stack filters and the modified difference of estimates approach to edge detection
IEEE Transactions on Image Processing
A wavelet-based coarse-to-fine image matching scheme in a parallel virtual machine environment
IEEE Transactions on Image Processing
A multiresolution approach to computer verification of handwritten signatures
IEEE Transactions on Image Processing
Palmprint verification based on principal lines
Pattern Recognition
Palmprint verification based on robust line orientation code
Pattern Recognition
Palmprint verification based on robust line orientation code
Pattern Recognition
Real-Time Model-Based Hand Localization for Unsupervised Palmar Image Acquisition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A novel technique for palmprint classification and authentication
International Journal of Biometrics
Personal identification based on weighting key point scheme for hand image
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
Palmprint recognition based on neighborhood rough set
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Palmprint identification using PCA algorithm and hierarchical neural network
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
Empirical study of light source selection for palmprint recognition
Pattern Recognition Letters
Implementation of remote system using touchless palmprint recognition algorithm
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
Palmprint identification based on wide principal lines
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Palm vein recognition using adaptive Gabor filter
Expert Systems with Applications: An International Journal
Dynamic ROI extraction algorithm for palmprints
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
An improved palmprint recognition system using iris features
Journal of Real-Time Image Processing
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A reliable and robust personal verification approach using palmprint features is presented in this paper. The characteristics of the proposed approach are that no prior knowledge about the objects is necessary and the parameters can be set automatically. In our work, a flatbed scanner is adopted as an input device for capturing palmprint images; it has the advantages of working without palm inking or a docking device. In the proposed approach, two finger-webs are automatically selected as the datum points to define the region of interest (ROI) in the palmprint images. The hierarchical decomposition mechanism is applied to extract principal palmprint features inside the ROI, which includes directional and multi-resolution decompositions. The former extracts principal palmprint features from each ROI. The latter process the images with principal palmprint feature and extract the dominant points from the images at different resolutions. A total of 4800 palmprint images were collected from 160 persons to verify the validity of the proposed palmprint verification approach and the results are satisfactory with acceptable accuracy (FRR: 0.75% and FAR: 0.69%). Experimental results demonstrate that our proposed approach is feasible and effective in palmprint verification.