DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/9700
Title: Automated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusion Chapter Automated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusion
Authors: Ajmera, Pawan K.
Keywords: EEE
Biometric fusion
Ear Multimodal
Issue Date: 2020
Publisher: CRC
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
URI: https://www.taylorfrancis.com/chapters/edit/10.1201/9781003052098-53/automated-person-authentication-using-face-iris-ear-multimodal-biometric-fusion-purohit-ajmera
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9700
Appears in Collections:Department of Electrical and Electronics Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.