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Automated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusion Chapter Automated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusion

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dc.contributor.author Ajmera, Pawan K.
dc.date.accessioned 2023-03-14T08:50:04Z
dc.date.available 2023-03-14T08:50:04Z
dc.date.issued 2020
dc.identifier.uri https://www.taylorfrancis.com/chapters/edit/10.1201/9781003052098-53/automated-person-authentication-using-face-iris-ear-multimodal-biometric-fusion-purohit-ajmera
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9700
dc.description.abstract With 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 approach en_US
dc.language.iso en en_US
dc.publisher CRC en_US
dc.subject EEE en_US
dc.subject Biometric fusion en_US
dc.subject Ear Multimodal en_US
dc.title Automated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusion Chapter Automated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusion en_US
dc.type Book chapter en_US


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