Multi-biometrics fusion based on dynamic weighting of characteristic signal quality
Face recognition and speaker recognition were integrated at the decision-making level.In order to cope with the influence of the external environment on the recognition result,image quality and sound quality assessment methods were introduced.By evaluating the quality of information,features with po...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2018-03-01
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| Series: | 网络与信息安全学报 |
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| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018022 |
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| _version_ | 1841530129564565504 |
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| author | Wenbing ZHANG Peishun LIU Fenghui XUE |
| author_facet | Wenbing ZHANG Peishun LIU Fenghui XUE |
| author_sort | Wenbing ZHANG |
| collection | DOAJ |
| description | Face recognition and speaker recognition were integrated at the decision-making level.In order to cope with the influence of the external environment on the recognition result,image quality and sound quality assessment methods were introduced.By evaluating the quality of information,features with poor information quality were removed.Information quality dynamically adjusted the weight proportion of the module,and rejected individuals with low matching degree of single-mode feature recognition.Then,according to DS theory,each evidence was merged into a new body of evidence to realize user identification.The experimental results show that the fusion method which takes into account the characteristic signal quality can effectively improve the recognition accuracy and security. |
| format | Article |
| id | doaj-art-595541802d2a4cca8ae325130fd8ea15 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2018-03-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-595541802d2a4cca8ae325130fd8ea152025-01-15T03:12:39ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2018-03-014596759553007Multi-biometrics fusion based on dynamic weighting of characteristic signal qualityWenbing ZHANGPeishun LIUFenghui XUEFace recognition and speaker recognition were integrated at the decision-making level.In order to cope with the influence of the external environment on the recognition result,image quality and sound quality assessment methods were introduced.By evaluating the quality of information,features with poor information quality were removed.Information quality dynamically adjusted the weight proportion of the module,and rejected individuals with low matching degree of single-mode feature recognition.Then,according to DS theory,each evidence was merged into a new body of evidence to realize user identification.The experimental results show that the fusion method which takes into account the characteristic signal quality can effectively improve the recognition accuracy and security.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018022face recognitionspeaker recognitioncharacterization of signal qualityD-S evidence theory |
| spellingShingle | Wenbing ZHANG Peishun LIU Fenghui XUE Multi-biometrics fusion based on dynamic weighting of characteristic signal quality 网络与信息安全学报 face recognition speaker recognition characterization of signal quality D-S evidence theory |
| title | Multi-biometrics fusion based on dynamic weighting of characteristic signal quality |
| title_full | Multi-biometrics fusion based on dynamic weighting of characteristic signal quality |
| title_fullStr | Multi-biometrics fusion based on dynamic weighting of characteristic signal quality |
| title_full_unstemmed | Multi-biometrics fusion based on dynamic weighting of characteristic signal quality |
| title_short | Multi-biometrics fusion based on dynamic weighting of characteristic signal quality |
| title_sort | multi biometrics fusion based on dynamic weighting of characteristic signal quality |
| topic | face recognition speaker recognition characterization of signal quality D-S evidence theory |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018022 |
| work_keys_str_mv | AT wenbingzhang multibiometricsfusionbasedondynamicweightingofcharacteristicsignalquality AT peishunliu multibiometricsfusionbasedondynamicweightingofcharacteristicsignalquality AT fenghuixue multibiometricsfusionbasedondynamicweightingofcharacteristicsignalquality |