A two-level matching scheme for speedy and accurate palmprint identification

Authors:
Fang Li;Maylor K. H. Leung;Xiaozhou Yu
Affiliations:
School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore
Venue:
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Year:
2007

Citing 10
Cited 2

Recognition of Handwritten Chinese Characters by Modified Hough Transform Techniques

IEEE Transactions on Pattern Analysis and Machine Intelligence
Line-Based Recognition Using A Multidimensional Hausdorff Distance

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Line Edge Map

IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing Images Using the Hausdorff Distance

IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching of palmprints

Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Introduction to MPEG-7: Multimedia Content Description Interface

Introduction to MPEG-7: Multimedia Content Description Interface
Online Palmprint Identification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Recognition using Curve Segment Hausdorff Distance

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Characterization of palmprints by wavelet signatures via directional context modeling

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On hierarchical palmprint coding with multiple features for personal identification in large databases

IEEE Transactions on Circuits and Systems for Video Technology

Palmprint identification using pairwise relative angle and EMD

VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Ensemble of local and global information for finger-knuckle-print recognition

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

Although palmprint based authentication approaches have shown promising results recently, efforts are still required to achieve higher performance with low time complexity for their use in real-life high security applications. Based on these requirements, the concept of two level matching scheme using line matching in Hough space and Curve segment Hausdorff Distance (CsHD) are explored and developed for speedy and accurate palmprint identification in this paper. This method combines the advantages of both local and global feature approaches, which is able to not only absorb the variance of palmprints by transforming the palmprint pattern into a new domain, but also overcome the problem of high computation complexity when the database size increases. The system employs low-resolution palmprint images captured by normal digital camera and achieves higher identification accuracy with lower time complexity.