Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
Stability of Phase Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Online Palmprint Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fisherpalms based palmprint recognition
Pattern Recognition Letters
Feature Extraction Method for Palmprint Considering Elimination of Creases
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Competitive Coding Scheme for Palmprint Verification
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Palmprint Identification Using PalmCodes
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
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
Palmprint Identification Algorithm Using Hu Invariant Moments and Otsu Binarization
Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science
A Biometric Identification System Based on Eigenpalm and Eigenfinger Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusion of phase and orientation information for palmprint authentication
Pattern Analysis & Applications
Palmprint Identification using Boosting Local Binary Pattern
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Palmprint Authentication (International Series on Biometrics)
Palmprint Authentication (International Series on Biometrics)
Subpixel registration directly from the phase difference
EURASIP Journal on Applied Signal Processing
An Efficient Multi-algorithmic Fusion System Based on Palmprint for Personnel Identification
ADCOM '07 Proceedings of the 15th International Conference on Advanced Computing and Communications
Palmprint verification based on robust line orientation code
Pattern Recognition
Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Fusion of Palmprint and Iris for Personal Authentication
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
An Effective Approach for Iris Recognition Using Phase-Based Image Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Palmprint Recognition Algorithm Using Phase-Only Correlation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Biometric System Using Palmprint for Personal Verification
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Kernel Principal Component Analysis of Gabor Features for Palmprint Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
An automated palmprint recognition system
Image and Vision Computing
Learning Gabor magnitude features for palmprint recognition
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
A palmprint recognition algorithm using phase-based correspondence matching
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Stockwell transform based palm-print recognition
Applied Soft Computing
A fingerprint recognition algorithm combining phase-based image matching and feature-based matching
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Characterization of palmprints by wavelet signatures via directional context modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A face and palmprint recognition approach based on discriminant DCT feature extraction
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Personal recognition using hand shape and texture
IEEE Transactions on Image Processing
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Editorial: High performance biometrics recognition algorithms and systems
Future Generation Computer Systems
Palmprint identification based on wide principal lines
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Palmprint matching using feature points and SVD factorisation
Digital Signal Processing
A novel method for palmprint feature extraction based on modified pulse-coupled neural network
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
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This paper presents an efficient palmprint based human recognition system. Each palmprint is divided into several square overlapping blocks. Reconstruction error using principle component analysis (PCA) is used to classify these blocks into either a good block or a non-palmprint block. Features from each good block of a palmprint are obtained by binarising the phase-difference of vertical and horizontal phase. The Hamming distance is used to compute the matching score between the features of corresponding good blocks of enrolled and live palmprint. These matching scores are fused using weighted sum rule, where weights are based on the average discriminating level of a block relative to other blocks. The performance of the proposed system is analysed on different datasets of hand images and it has been observed that it achieves a Correct Recognition Rate of 100% with a low Equal Error Rate for all the datasets. The system is also evaluated for noisy and bad palmprint images. It is found to be robust as long as the noise density is less than 50% or the bad region is less than 64% of the images.