Face recognition using decision fusion of multiple sparse representation-based classifiers
A new approach to face recognition combining decision fusion and multiple sparse representation-based classifiers was proposed to improve the robustness of the traditional methods.Different types of facial features were extracted,followed by training multiple sparse representation sub-classifiers,an...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2018-04-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018010/ |
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| _version_ | 1841530411004461056 |
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| author | Biao TANG Wei JIN Randi FU Fei GONG |
| author_facet | Biao TANG Wei JIN Randi FU Fei GONG |
| author_sort | Biao TANG |
| collection | DOAJ |
| description | A new approach to face recognition combining decision fusion and multiple sparse representation-based classifiers was proposed to improve the robustness of the traditional methods.Different types of facial features were extracted,followed by training multiple sparse representation sub-classifiers,and then decision fusion was used to obtain the recognition result of the system.The significant advantage of the proposed scheme lines in that the final recognition results were not driven by averaging outputs of multiple sub-classifiers,but driven by combining multiple outputs via weighted fusion method.In particular,the fusion weights were adaptively determined by an iterative pro-cedure according to the different classification performance of each sub-classifier.Extensive experiments on Yale B,JAFFE and AR face databases demonstrate that the proposed approach is much more effective than state-of-the-art methods in dealing with lighting changes,expression changes and face occlusion and multi factor mixed interference. |
| format | Article |
| id | doaj-art-e095ce1a485f4ff89b8e204d1fff1a8c |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2018-04-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-e095ce1a485f4ff89b8e204d1fff1a8c2025-01-15T03:04:48ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-04-0134314059595809Face recognition using decision fusion of multiple sparse representation-based classifiersBiao TANGWei JINRandi FUFei GONGA new approach to face recognition combining decision fusion and multiple sparse representation-based classifiers was proposed to improve the robustness of the traditional methods.Different types of facial features were extracted,followed by training multiple sparse representation sub-classifiers,and then decision fusion was used to obtain the recognition result of the system.The significant advantage of the proposed scheme lines in that the final recognition results were not driven by averaging outputs of multiple sub-classifiers,but driven by combining multiple outputs via weighted fusion method.In particular,the fusion weights were adaptively determined by an iterative pro-cedure according to the different classification performance of each sub-classifier.Extensive experiments on Yale B,JAFFE and AR face databases demonstrate that the proposed approach is much more effective than state-of-the-art methods in dealing with lighting changes,expression changes and face occlusion and multi factor mixed interference.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018010/face recognitionsparse representation-based classifierdecision fusion |
| spellingShingle | Biao TANG Wei JIN Randi FU Fei GONG Face recognition using decision fusion of multiple sparse representation-based classifiers Dianxin kexue face recognition sparse representation-based classifier decision fusion |
| title | Face recognition using decision fusion of multiple sparse representation-based classifiers |
| title_full | Face recognition using decision fusion of multiple sparse representation-based classifiers |
| title_fullStr | Face recognition using decision fusion of multiple sparse representation-based classifiers |
| title_full_unstemmed | Face recognition using decision fusion of multiple sparse representation-based classifiers |
| title_short | Face recognition using decision fusion of multiple sparse representation-based classifiers |
| title_sort | face recognition using decision fusion of multiple sparse representation based classifiers |
| topic | face recognition sparse representation-based classifier decision fusion |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018010/ |
| work_keys_str_mv | AT biaotang facerecognitionusingdecisionfusionofmultiplesparserepresentationbasedclassifiers AT weijin facerecognitionusingdecisionfusionofmultiplesparserepresentationbasedclassifiers AT randifu facerecognitionusingdecisionfusionofmultiplesparserepresentationbasedclassifiers AT feigong facerecognitionusingdecisionfusionofmultiplesparserepresentationbasedclassifiers |