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Proceedings Paper

3D palmprint data fast acquisition and recognition
Author(s): Xiaoxu Wang; Shujun Huang; Nan Gao; Zonghua Zhang
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Paper Abstract

This paper presents a fast 3D (Three-Dimension) palmprint capturing system and develops an efficient 3D palmprint feature extraction and recognition method. In order to fast acquire accurate 3D shape and texture of palmprint, a DLP projector triggers a CCD camera to realize synchronization. By generating and projecting green fringe pattern images onto the measured palm surface, 3D palmprint data are calculated from the fringe pattern images. The periodic feature vector can be derived from the calculated 3D palmprint data, so undistorted 3D biometrics is obtained. Using the obtained 3D palmprint data, feature matching test have been carried out by Gabor filter, competition rules and the mean curvature. Experimental results on capturing 3D palmprint show that the proposed acquisition method can fast get 3D shape information of palmprint. Some initial experiments on recognition show the proposed method is efficient by using 3D palmprint data.

Paper Details

Date Published: 13 November 2014
PDF: 9 pages
Proc. SPIE 9279, Real-time Photonic Measurements, Data Management, and Processing, 92790P (13 November 2014); doi: 10.1117/12.2073028
Show Author Affiliations
Xiaoxu Wang, Hebei Univ. of Technology (China)
Shujun Huang, Hebei Univ. of Technology (China)
Nan Gao, Hebei Univ. of Technology (China)
Zonghua Zhang, Hebei Univ. of Technology (China)

Published in SPIE Proceedings Vol. 9279:
Real-time Photonic Measurements, Data Management, and Processing
Bahram Jalali; Ming Li; Keisuke Goda; Mohammad Hossein Asghari, Editor(s)

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