| 优化的小波变换和改进的LDA相融合的人脸识别算法 |
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| 引用本文： | 楚建浦,何光辉,刘玉馨.优化的小波变换和改进的LDA相融合的人脸识别算法[J].计算机科学,2016,43(Z11):147-150, 166. |
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| 作者姓名： | 楚建浦 何光辉 刘玉馨 |
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| 作者单位： | 重庆大学数学与统计学院 重庆401331,重庆大学数学与统计学院 重庆401331,重庆大学数学与统计学院 重庆401331 |
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| 基金项目： | 本文受国家自然科学基金项目:图像运动模糊不变量特征学习(61572087)资助 |
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| 摘 要： | 提出了一种优化的小波变换与改进的LDA相融合的人脸识别算法。首先对经过预处理的人脸图像进行2层小波变换并提取特征,然后对小波分解后的高频子带进行融合,并在改进的LDA下利用交替方向法求出投影矩阵和最优融合系数,再结合低频子带在改进的LDA下的特征表示,利用最近邻分类器进行分类。实验结果表明,该算法在ORL及YALE人脸库上的识别效果较传统的人脸识别算法更优。
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| 关 键 词： | 小波变换 融合系数 人脸识别 |
Face Recognition Algorithm Based on Fusion of Optimized Wavelet Transform and Improved LDA |
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| CHU Jian-pu,HE Guang-hui and LIU Yu-xin.Face Recognition Algorithm Based on Fusion of Optimized Wavelet Transform and Improved LDA[J].Computer Science,2016,43(Z11):147-150, 166. |
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| Authors: | CHU Jian-pu HE Guang-hui and LIU Yu-xin |
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| Affiliation: | College of Mathematics and Statistics,Chongqing University,Chongqing 401331,China,College of Mathematics and Statistics,Chongqing University,Chongqing 401331,China and College of Mathematics and Statistics,Chongqing University,Chongqing 401331,China |
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| Abstract: | A face recognition algorithm based on fusion of optimized wavelet transform and improved LDA(OWT+ILDA) was proposed.First,we extracted features of the preprocess face images through the 2-level wavelet transform,and an alternating direction method is used to solve the projection matrix and the corresponding optimal fusion coefficients of the high frequency wavelet sub-bands which are fused by the improved LDA.Then we combined representations of the low frequency and high frequency.Finally,the nearest neighbor classifier was used to perform face classification.Experiments were carried out on the ORL and YALE face databases,which indicate that the method is more effective than other traditional methods. |
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| Keywords: | Wavelet transform Coefficient of fusion Face recognition |
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