Fingerprint pattern classification
Pattern Recognition
An approach to fingerprint filter design
Pattern Recognition
On-Line fingerprint Verification
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Image filter design for fingerprint enhancement
ISCV '95 Proceedings of the International Symposium on Computer Vision
Personal authentication using hand images
Pattern Recognition Letters
Review article: Touch-less palm print biometrics: Novel design and implementation
Image and Vision Computing
Palmprint Verification Using Circular Gabor Filter
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
An automated palmprint recognition system
Image and Vision Computing
Robust orientation field estimation and extrapolation using semilocal line sensors
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Personal authentication using multiple palmprint representation
Pattern Recognition
Personal verification using palmprint and hand geometry biometric
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Partial palmprint matching using invariant local minutiae descriptors
Transactions on data hiding and multimedia security V
Stockwell transform based palm-print recognition
Applied Soft Computing
Palmprint based recognition system using phase-difference information
Future Generation Computer Systems
Journal of Real-Time Image Processing
| Hi-index | 0.00 |
A new method of extracting palm print features is presented in this report. Since palmprint images have many creases which are organized like ridges, ordinary fingerprint feature extraction algorithms are unable to extract ridges. Consequently, the goal of this research is to construct a new feature extraction method which can extract ridges under these conditions. At first, the original palmprint image is divided into local images. The ridge candidates are extracted from each local image of the palmprint. Finally, only one candidate is selected as the ridge in the local image by estimating the continuity of certain properties. Experiments with palmprint images indicate that the proposed method can extract ridges better than conventional methods, especially in areas in which both ridges and creases exist.