Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Online Palmprint Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Biometric Identification System Based on Eigenpalm and Eigenfinger Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Palmprint Identification using Boosting Local Binary Pattern
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Kernel Fisher Discriminant Analysis for Palmprint Recognition
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
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
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Characterization of palmprints by wavelet signatures via directional context modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Personal recognition using hand shape and texture
IEEE Transactions on Image Processing
A novel representation of palm-print for recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
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
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This paper describes a prototype of robust biometric system for verification. The system uses features extracted using Speeded Up Robust Features (SURF) operator of human hand. The hand image for features is acquired using a low cost scanner. The extracted palmprint region is robust to hand translation and rotation on the scanner. The system is tested on IITK database and PolyU database. It has FAR 0.02%, FRR 0.01% and an accuracy of 99.98% at original size. The system addresses the robustness in the context of scale, rotation and occlusion of palmprint. The system performs at accuracy more than 99% for scale, more than 98% for rotation, and more than 99% for occlusion. The robustness and accuracy suggest that it can be a suitable system for civilian and high-security environments.