Please use this identifier to cite or link to this item:
Title: Principal line based ICP alignment for palmprint verification
Authors: Li, W
Zhang, L 
Zhang, D 
Yan, J
Keywords: Biometrics
Image alignment
Line extraction
Palmprint recognition
Issue Date: 2009
Publisher: IEEE Computer Society
Source: Proceedings - International Conference on Image Processing, ICIP, 2009, p. 1961-1964 How to cite?
Abstract: Image alignment is a crucial step in palmprint verification. However, most of the existing palmprint alignment methods use only some key points between fingers or in palm boundary to extract the region of interest (ROI), which is consequently used for feature extraction and matching. Such alignment methods can only give a coarse alignment of the palmprint images. This paper presents a new effective refinement method for palmprint alignment by adapting the iterative closest point (ICP) method to the palmprint principal lines. The proposed method offers a more accurate alignment of palmprints by correcting efficiently the shifting, rotation and scaling variations introduced in data acquisition. The experimental results show that the proposed method can greatly improve the palmprint verification accuracy in real time.
Description: 2009 IEEE International Conference on Image Processing, ICIP 2009, Cairo, 7-10 November 2009
ISBN: 9781424456543
ISSN: 1522-4880
DOI: 10.1109/ICIP.2009.5413459
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Jan 3, 2019

Page view(s)

Last Week
Last month
Citations as of Jan 13, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.