Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification
A face recognition method named WT-CSRC was proposed by using wavelet transform (WT) and a collaboration of double-dictionary's sparse representation-based classification (CSRC). Firstly, the proposed method used principal component analysis (PCA) to achieve the fusion of three high-frequency d...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2017-03-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017057/ |
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| _version_ | 1841529125665243136 |
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| author | Fei GONG Wei JIN Keqing ZHU Randi FU Yan CAO |
| author_facet | Fei GONG Wei JIN Keqing ZHU Randi FU Yan CAO |
| author_sort | Fei GONG |
| collection | DOAJ |
| description | A face recognition method named WT-CSRC was proposed by using wavelet transform (WT) and a collaboration of double-dictionary's sparse representation-based classification (CSRC). Firstly, the proposed method used principal component analysis (PCA) to achieve the fusion of three high-frequency detail sub-images which were generated by WT, and a integrated high-frequency detail image could be obtained; then, features extracted from the low-frequency images and high-frequency detail images by PCA were used to construct the low-frequency feature space and high-frequency detail space; and low-frequency dictionary and high-frequency dictionary could be constructed by samples' projection on two kinds of feature space. Finally, face images could be classified by a collaborative classification via sparse representation in two dictionaries, and the reliability of the recognition could be enhanced by using the cross correlation coefficient. Experimental results show that, the proposed method has high recognition rate with strong illumination and expression robustness with acceptable time efficiency. |
| format | Article |
| id | doaj-art-cd074b1a969446b6ad8f31f5974fd406 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2017-03-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-cd074b1a969446b6ad8f31f5974fd4062025-01-15T03:25:30ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-03-0133525859804387Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classificationFei GONGWei JINKeqing ZHURandi FUYan CAOA face recognition method named WT-CSRC was proposed by using wavelet transform (WT) and a collaboration of double-dictionary's sparse representation-based classification (CSRC). Firstly, the proposed method used principal component analysis (PCA) to achieve the fusion of three high-frequency detail sub-images which were generated by WT, and a integrated high-frequency detail image could be obtained; then, features extracted from the low-frequency images and high-frequency detail images by PCA were used to construct the low-frequency feature space and high-frequency detail space; and low-frequency dictionary and high-frequency dictionary could be constructed by samples' projection on two kinds of feature space. Finally, face images could be classified by a collaborative classification via sparse representation in two dictionaries, and the reliability of the recognition could be enhanced by using the cross correlation coefficient. Experimental results show that, the proposed method has high recognition rate with strong illumination and expression robustness with acceptable time efficiency.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017057/face recognitiondouble-dictionarycollaborative sparse representationcross correlation coefficient |
| spellingShingle | Fei GONG Wei JIN Keqing ZHU Randi FU Yan CAO Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification Dianxin kexue face recognition double-dictionary collaborative sparse representation cross correlation coefficient |
| title | Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification |
| title_full | Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification |
| title_fullStr | Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification |
| title_full_unstemmed | Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification |
| title_short | Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification |
| title_sort | illumination and expression robust face recognition using collaboration of double dictionary s sparse representation based classification |
| topic | face recognition double-dictionary collaborative sparse representation cross correlation coefficient |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017057/ |
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