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Abstract
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Article Information:
Palmprint Recognition Using Directional Representation and Compresses Sensing
Hengjian Li, Lianhai Wang and Zutao Zhang
Corresponding Author: Hengjian Li
Submitted: March 31, 2012
Accepted: April 30, 2012
Published: November 15, 2012 |
Abstract:
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In this study, based on directional representation for palmprint images and compressed sensing, we
propose a novel approach for palmprint recognition. Firstly, the directional representation for appearance based
approaches is obtained by the anisotropy filter to efficiently capture the main palmprint image characters.
Compared with the traditional Gabor representations, the new representations is robust to drastic illumination
changes and preserves important discriminative information for classification. Then, in order to improve the
robustness of palmprint identification, the compressed sensing is used to distinguish different palms from
different hands. As a result, the palmprint recognition performance of representative appearance based
approaches can be improved. Experimental results on the PolyU palprint database show that the proposed
algorithm has better performance and with good robustness.
Key words: Compressed sensing , directional representation, image processing, palmprint recognition, , ,
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Cite this Reference:
Hengjian Li, Lianhai Wang and Zutao Zhang, . Palmprint Recognition Using Directional Representation and Compresses Sensing. Research Journal of Applied Sciences, Engineering and Technology, (22): 4724-4728.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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