CAJ | 학술논문

针对局部线性嵌入(LLE)算法易受偏转角度和近邻选取的影响，提出了一种双层LLE ( DLLE )的人耳图像识别方法，并结合Gabor小波和DLLE提出了GDLLE。DLLE首先计算各样本与每类样本中心的欧氏距离，再把欧氏距离最小的K类所有样本作为LLE的近邻，提取出鉴别特征，最后由最近近邻分类器对鉴别特征进行分类。在USTB3人耳图像库上的实验结果表明，本文提出DLLE能够减小偏转角度和近邻对LLE算法的影响，结合Gabor小波后进一步改善了算法的识别率。
침대국부선성감입(LLE)산법역수편전각도화근린선취적영향，제출료일충쌍층LLE ( DLLE )적인이도상식별방법，병결합Gabor소파화DLLE제출료GDLLE。DLLE수선계산각양본여매류양본중심적구씨거리，재파구씨거리최소적K류소유양본작위LLE적근린，제취출감별특정，최후유최근근린분류기대감별특정진행분류。재USTB3인이도상고상적실험결과표명，본문제출DLLE능구감소편전각도화근린대LLE산법적영향，결합Gabor소파후진일보개선료산법적식별솔。
As LLE algorithm is apt to be influenced by the deflection angle and the selection of the proximal points, a method of Double-layer LLE (DLLE) human ear recognition is put forward. And a further algorithm combined with Gabor is proposed with the name of GDLLE (Gabor and DLLE). The DLLE algorithm calculate the Euclidean distance between sample point and the center of the sample points first, then take all of the K-class sample points whose Euclidean distance are the minimum as neighbor points of LLE, extract the discriminate features, and classify them by the nearest neighbor classifier finally. The experiments on USTB3 ear image database reveal that the DLLE method proposed in this paper can reduce the impacts of the deflection angle and the selection of the proximal points on LLE algorithm, and recognition rate is further improved with the combination of Gabor wavelet.