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离焦状态下的模糊掌纹识别

第21卷第3期2013年3月

光学精密工程

0pticsandPrecisionEngineering

V01.21No.3

Mar.2013

文章编号1004—924X(2013)030734一08

离焦状态下的模糊掌纹识别

林森1’弘,苑玮琦1

(1.沈阳工业大学视觉检测技术研究所,辽宁沈阳110870;

2.辽宁工程技术大学电子与信息工程学院,辽宁葫芦岛125105)

摘要:针对掌纹识别时非接触信号采集可能出现的离焦状态会导致掌纹模糊,从而降低识别系统性能的问题,提出了一种基于稳定特征的模糊掌纹识别方法。建立了掌纹的离焦退化数学模型;在分析模糊机理的基础上,使用拉普拉斯平滑变换提取模糊掌纹的低频系数作为稳定特征,利用特征向量之间的欧式距离进行匹配和判别。文中给出了算法的步骤,并通过实验确定了需要选取的低频系数的个数。在建立的SUT-D模糊掌纹库上进行了识别测试,结果表明本文算法的等误率可达17.1017%,与传统的DCT变换及EigenPalm,Palmcode等8种典型识别方法比较,等误率最高可降低7,9084%。这些结果显示本文方法不但能够提升识别效果,而且特征维数较低,改善了模糊掌纹识别系统的性能。

关键词:生物特征;掌纹识别;离焦;模糊识别;拉普拉斯平滑变换

中图分类号:TP391.4文献标识码:Adoi:10.3788/0PE.20132103.0734

BlurredpalnlprintrecognitionunderdefOcusstatus

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Abstract:Asthedefocusstatusinnon—contactsignalacquisitionforpalmprintrecognitionmightblurpalmprintanddegradetheperformanceofarecognitionsystem,anovelschemebasedonstablefea—tureswasproposedfortheblurredpalmprintrecognition.Firstly,amathematicalmodelofdefocusdegenerationwasestablished.Then,theblurmechanismwasanalyzedindetailandtheLaplacianSmoothingTransform(LST)wasemployedtoextractlow—frequencycoefficientsfromblurredpalm—printasstablefeatures.Furthermore,theEuclideandistancebetweenthefeaturevectorswasusedfor

matchinganddiscriminating.Withtheexperiments,the

operationstepsofthealgorithmweregiven

andthenumberoflow—frequencycoefficientsweredetermined.Theexperimentsbased

ontheself—madeSUT—Dblurredpalmprintdatabasewereperformed.Obtainedresultsshowthattheproposedal—gorithmcangetEqualErrorRate(EER)of17.1017%,whichhasbeenmaximallyreducedby7.9084%comparedwiththosefromothertypicalrecognitionmethods,suchastraditionalDiscreteCosine收稿日期:2012—10一24;修订日期:2012—12—11.

基金项目:国家自然科学基金资助项目(No.60972123);教育部高等学校博士学科点专项科研基金资助项目(No20092102110002);沈阳市科技计划资助项目(F10一213—1一Oo)

离焦状态下的模糊掌纹识别

作者:林森, 苑玮琦, LIN Sen, YUAN Wei-qi

作者单位:林森,LIN Sen(沈阳工业大学视觉检测技术研究所,辽宁沈阳110870;辽宁工程技术大学电子与信息工程学院,辽宁葫芦岛125105), 苑玮琦,YUAN Wei-qi(沈阳工业大学视觉检测技术研究所,辽宁沈阳,110870)

刊名:

光学精密工程

英文刊名:Optics and Precision Engineering

年,卷(期):2013,21(3)

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