Thenar Palmprint Image Denoising Based on Intermediary Filter

Yue Ming Dai; Xi Jun Zhu

doi:10.4028/www.scientific.net/AMM.433-435.338

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Thenar Palmprint Image Denoising Based on...

Thenar Palmprint Image Denoising Based on Intermediary Filter

Abstract:

In this paper, based on the value measure of the Intermediary truth value, the Intermediary filtering algorithm is applied to the thenar palmprint image preprocessing. By using the Objective indicators of peak signal to noise ratio (PSNR), it can be seen that compared with the classical de-noising algorithm, the intermediary filtering algorithm is more effective and practicable.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

338-341

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.338

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Cite this paper

Online since:

October 2013

Authors:

Yue Ming Dai, Xi Jun Zhu*

Keywords:

Image De-Noising, Intermediary Filtering Algorithm, Intermediary Mathematical System

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* - Corresponding Author

References

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