Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Palmprint recognition using eigenpalms features
Pattern Recognition Letters
The Use of Size Functions for Comparison of Shapes Through Differential Invariants
Journal of Mathematical Imaging and Vision
Using B-Spline Curves for Hand Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Face Recognition Using IPCA-ICA Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Template to Image: Reconstructing Fingerprints from Minutiae Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural hidden Markov models for biometrics: Fusion of face and fingerprint
Pattern Recognition
Model-guided deformable hand shape recognition without positioning aids
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
Fingerprint-Based Fuzzy Vault: Implementation and Performance
IEEE Transactions on Information Forensics and Security
BDPCA plus LDA: a novel fast feature extraction technique for face recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fingerprint Image Reconstruction from Standard Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometric verification using thermal images of palm-dorsa vein patterns
IEEE Transactions on Circuits and Systems for Video Technology
Online joint palmprint and palmvein verification
Expert Systems with Applications: An International Journal
Stockwell transform based palm-print recognition
Applied Soft Computing
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In this study, the characteristic matrix is employed to generate the various discriminators, by which to identify different palm-prints. The ''ring rotation invariant transform'' technique can deal with image rotation problem. In this study, the transformed signals will be fed to the characteristic matrix to generate various discriminators. For dealing with image-shifting problem, one pixel in sample image is compared with the surrounding pixels in unknown image to locate the closest matching. The comparison approaching in this study is by the basis of pixel-to-pixel-comparisons.