Cross-band fusion by energy weight as solution to illumination and arch restrictions in palm-print recognition.
In: International Journal of Imaging Systems & Technology, Jg. 19 (2009-12-01), Heft 4, S. 350-355
Online
academicJournal
Zugriff:
Palm-print image is often influenced by illumination and the arch of the palm-print results in a great deal of noise during the course of palm-print image acquisition. This article presents palm-print recognition based on cross-band fusion by energy weight and comprehensively takes into account the noisy properties of various sub-bands in single wavelet level and decomposition coefficient of the adjacent sub-band, thus the method of energy weight based on palm-print image is employed. Then two-dimensional principal component analysis (2DPCA) is employed for dimension reduction and decorrelated. Finally, a nearest neighbor classifier is used for palm-print recognition. Experimental results on Hong Kong PolyU palm-print database show that correct recognition rate can reach 100% by the method presented within this article. Correct recognition rate and recognition efficiency is higher than that of 2DPCA and WT + DCT + 2DPCA (Wavelet Transform, Discrete Cosine Transform and 2DPCA, WT + DCT + 2DPCA). © 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 350–355, 2009 [ABSTRACT FROM AUTHOR]
Titel: |
Cross-band fusion by energy weight as solution to illumination and arch restrictions in palm-print recognition.
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Autor/in / Beteiligte Person: | Chen, Xiao-Hua ; Li, Chun-Zhi |
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Zeitschrift: | International Journal of Imaging Systems & Technology, Jg. 19 (2009-12-01), Heft 4, S. 350-355 |
Veröffentlichung: | 2009 |
Medientyp: | academicJournal |
ISSN: | 0899-9457 (print) |
DOI: | 10.1002/ima.20212 |
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