{"title":"LABVIEW WITH DWT FOR DENOISING THE BLURRED BIOMETRIC IMAGES","authors":"Fadhil A. Ali","doi":"10.5121/IJCSA.2014.4301","DOIUrl":null,"url":null,"abstract":"In this paper, biometric blurred image(fingerprint) denoising are presented a nd investigated by using LabVIEW applications , It is blurred and corrupted with Gaussian noise. This work is proposed algorithm that has used a discrete wavelet transform (DWT) to divide the image into two parts, this will be increasing the manipulation speed of biometric images that are of the big sizes.This work has included two tasks ; the first designs the LabVIEW system to calculate and present the approximation coefficients, by which the image's blur factor reduced to minimum value accord ing to the proposed algorithm. The second task removes the image's noise by calculated the regression coefficients according to BayesianShrinkage estimation method.","PeriodicalId":39465,"journal":{"name":"International Journal of Computer Science and Applications","volume":"141 1","pages":"1-13"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJCSA.2014.4301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, biometric blurred image(fingerprint) denoising are presented a nd investigated by using LabVIEW applications , It is blurred and corrupted with Gaussian noise. This work is proposed algorithm that has used a discrete wavelet transform (DWT) to divide the image into two parts, this will be increasing the manipulation speed of biometric images that are of the big sizes.This work has included two tasks ; the first designs the LabVIEW system to calculate and present the approximation coefficients, by which the image's blur factor reduced to minimum value accord ing to the proposed algorithm. The second task removes the image's noise by calculated the regression coefficients according to BayesianShrinkage estimation method.
期刊介绍：
IJCSA is an international forum for scientists and engineers involved in computer science and its applications to publish high quality and refereed papers. Papers reporting original research and innovative applications from all parts of the world are welcome. Papers for publication in the IJCSA are selected through rigorous peer review to ensure originality, timeliness, relevance, and readability.
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