融合monogenic幅值与相位人脸识别方法

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1、融合Monogenic幅值与相位人脸识别方法　　文章编号:10019081(2013)07199104doi:10.11772/j.issn.10019081.2013.07.1991摘要:针对仅利用图像滤波幅值信息进行识别而忽视相位信息的问题，提出一种融合Monogenic局部相位和幅值的识别方法。该方法先对相位进行量化和异或，并结合方向和尺度信息得到相位编码(MLXP)；其次，分别对相位编码和基于幅值的二值编码进行分块，计算直方图特征；然后，采用基于分块的线性判别进行降维，提高特征的判别能力；最后在评分层实行融合。在ORL和CASPEAL人脸

2、数据库上，相位方法MLXP的平均识别率分别为0.97和0.94，融合Monogenic相位和幅值的方法平均识别率分别为0.99和0.979，超越实验中其他所有方法。实验结果表明，相位利用方法MLXP是有效的，融合Monogenic相位和幅值的方法不但能够避免传统线性判别中的小样本(3S)问题，而且能以较低的时间和空间复杂度，有效地提高身份的正确识别率。关键词:Monogenic滤波器；相位；幅值；特征融合；人脸识别中图分类号:TP391文献标志码:A英文标题4FacerecognitionmethodfusingMonogenicmagnitudeand

3、phase英文作者名LIKunming,WANGLing*,YANHaiting,LIUJifu英文地址(CollegeofElectricalandInformationEngineering,HunanUniversity,ChangshaHunan410082,China英文摘要)Abstract:Inordertousethemagnitudeandphaseinformationoffilteredimageforfacerecognition,anewmethodfusingMonogeniclocalphaseandlocalmagni

4、tudewasproposed.Firstly,theauthorsencodedthephaseusingtheexclusiveor(XOR)operator,andcombinedtheorientationandscaleinformation.Thentheauthorsdividedthephasepatternmapsandbinarypatternmapsbasedonmagnitudeintoblocks.Afterthat,theyextractedthehistogramsfromblocks.Secondly,theyusedthebloc

5、kbasedFisherprincipletoreducethefeature4dimensionandimprovethediscriminationability.Atlast,theauthorsfusedthecosinesimilarityofmagnitudeandphaseatscorelevel.ThephasemethodMonogenicLocalXORPattern(MLXP)reachedtherecognitionrateof0.97and0.94,andthefusingmethodrecognitionratewas0.99and0

6、.979ontheORLandCASPEALfacedatabasesrespectivelyandthefusingmethodoutperformedalltheothermethodsusedintheexperiment.TheresultsverifythattheMLXPmethodiseffective.AndthemethodfusingtheMonogenicmagnitudeandphasenotonlyavoidstheSmallSampleSize(3S)probleminconventionalFisherdiscriminationm

7、ethods,butalsoimprovestherecognitionperformancesignificantlywithsmallertimeandspacecomplexity.Inordertousethemagnitudeandphaseinformationoffilteredimageforfacerecognition,anewmethodfusingMonogeniclocalphaseandlocalmagnitudeisproposed.Firstly,theauthorsencodedthephaseusingtheexclusiveo

8、r(XOR