Application of an Improved Algorithm for Denoising of Wavelet Threshold in Palmprint Recognition

In the acquisition process of palmprint image, the image is often subject to interference from the outside noise.This noise will affect the future of Palmprint feature extraction. Denoising of wavelet is a common method for denoising of palmprint image. The defect of traditional soft and hard thresh...

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Bibliographic Details
Published in:Applied Mechanics and Materials Vol. 536-537; no. Advances in Mechatronics, Robotics and Automation II; pp. 222 - 225
Main Authors: Yang, Shan Hong, Li, Jing Wen
Format: Journal Article
Language:English
Published: Zurich Trans Tech Publications Ltd 01.04.2014
Subjects:
Algorithms
Feature extraction
Image acquisition
Noise reduction
Recognition
Thresholds
Wavelet
Threshold Function
Wavelet Transform (WT)
Palmprint Recognition
ISBN:9783038350781, 3038350788
ISSN:1660-9336, 1662-7482, 1662-7482
Online Access:Get full text
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Summary:In the acquisition process of palmprint image, the image is often subject to interference from the outside noise.This noise will affect the future of Palmprint feature extraction. Denoising of wavelet is a common method for denoising of palmprint image. The defect of traditional soft and hard threshold functions in image denoising is analyzed. An improved threshold function is proposed on the basis of soft and hard threshold functions. The conventional hard, soft threshold functions and the improved function are used respectively in image denosing. Experiments prove that the improved wavelet threshold function is better than conventional soft, hard threshold function in denoising effect.
Bibliography:Selected, peer reviewed papers from the 2014 2nd International Conference on Mechatronics, Robotics and Automation, (ICMRA 2014), March 8-9, 2014, Zhuhai, China
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ISBN:9783038350781
3038350788
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.536-537.222