Abstract
A novel de-noising method based on BEMD (Bi-dimensional Empirical Mode Decomposition) and wavelet packet transform-wiener filter was proposed. Firstly, BEMD was applied to decompose the preprocessed palm print image including noise into a group of IMFs (Intrinsic Mode Functions) with different intrinsic time scales, and then the first several IMFs corresponding to high frequency information and noise were de-noised by means of wavelet packet decomposition integrated with wiener filter; finally, the image was reconstructed through adding the processed IMFs and the residual component. Simulation results show that compared with BEMD, wavelet packet threshold de-noising and BEMD integrated with wavelet threshold de-noising, this proposed method can achieve more superior de-noising performance with the lowest MSE and the highest PSNR, which provides a basis for the accurate extraction of palm print features.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Huang, S., Xu, C.: Principle Line Extraction and Restoration Based on Wavelet Theory. Journal of Image and Graphics 11(8), 1139–1149 (2006)
Lian, Q.S., Chen, S.Z.: Palm print Identification Algorithm Based on Energy and Direction Feature Fusion of Gabor Wavelet. Chinese Journal of Scientific Instrument 29(3), 556–561 (2008)
Guo, J.Y., Yuan, W.Q.: Palm print Recognition Based on Two-dimensional Fisher Linear Discriminant. Computer Engineering 34(6), 212–213 (2008)
Zhao, H.H., Zhou, D.J.: SMT Solder Joint Image De-noising Based on Wavelet Packet Transform and Wiener Filter. Computer Science 37(9), 279–282 (2010)
Nunes, J.C., Guyot, S.: Texture Analysis Based on Local Analysis of The Bidimensional Empirical Mode Decomposition. Machine Vision and Application 16(8), 177–188 (2005)
Jorge, S., Shrikanth, S.: Discriminative Wavelet Packet Filter Bank Selection for Pattern Recognition. IEEE Transactions on Signal Processing 57(5), 1796–1810 (2009)
Ercelebi, E., Koc, S.: Lifting Based Wavelet Domain Adaptive Wiener Filter for Image Enhancement. IEEE Proceedings Vision, Image and Signal Processing 153(1), 312–316 (2006)
Huan, R.H., Yang, R.L.: SAR Images Feature Extraction and Target Recognition Based on ICA and SVM. Computer Engineering 34(13), 24–28 (2008)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dai, GP. (2011). Palm Print Image De-noising Based on BEMD and Wavelet Packet Transform-Wiener Filter. In: Huang, DS., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing. ICIC 2011. Lecture Notes in Computer Science, vol 6838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24728-6_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-24728-6_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24727-9
Online ISBN: 978-3-642-24728-6
eBook Packages: Computer ScienceComputer Science (R0)