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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/9700
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dc.contributor.authorAjmera, Pawan K.-
dc.date.accessioned2023-03-14T08:50:04Z-
dc.date.available2023-03-14T08:50:04Z-
dc.date.issued2020-
dc.identifier.urihttps://www.taylorfrancis.com/chapters/edit/10.1201/9781003052098-53/automated-person-authentication-using-face-iris-ear-multimodal-biometric-fusion-purohit-ajmera-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9700-
dc.description.abstractWith the rapidly growing fields of Computer Vision and Artificial Intelligence, automatic person identification is very crucial and important task associated with these technologies. Integrating information which is originating from different sources is one of the major factors for multimodal biometric system design. As multimodal biometrics basically involves more than two modalities so in this proposed work, the implementation of personal identification is performed by fusing face, iris and ear biometric modalities using feature level fusion approachen_US
dc.language.isoenen_US
dc.publisherCRCen_US
dc.subjectEEEen_US
dc.subjectBiometric fusionen_US
dc.subjectEar Multimodalen_US
dc.titleAutomated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusion Chapter Automated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusionen_US
dc.typeBook chapteren_US
Appears in Collections:Department of Electrical and Electronics Engineering

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