Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19822
Title: Multispectral palmprint recognition using wavelet-based image fusion
Authors: Han, D
Guo, Z
Zhang, D 
Keywords: Image fusion
Motion blurring
Multispectral biometrics
Palmprint recognition
Wavelet transform
Issue Date: 2008
Source: International Conference on Signal Processing Proceedings, ICSP, 2008, p. 2074-2077 How to cite?
Abstract: Palmprint is widely used in personal identification for an accurate and robust recognition. To improve the existing palmprint systems, the proposed system, which is the first on-line multispectral palmprint recognition system ever designed before, uses multispectral capture device to sense images under different illumination, including Red, Green, Blue and Infrared. We adopt Competitive Coding Scheme as matching algorithm, which performs well in on-line palmprint recognition. Wavelet-based image fusion method is used as data-level fusion strategy in our scheme. Fused verifications show better effort on motion blurred source images than single channel. Experimental results of fusion images are also useful references for future work on multispectral palmprint recognition.
Description: 2008 9th International Conference on Signal Processing, ICSP 2008, Beijing, 26-29 October 2008
URI: http://hdl.handle.net/10397/19822
ISBN: 9781424421794
DOI: 10.1109/ICOSP.2008.4697553
Appears in Collections:Conference Paper

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