Deep neural networks for mobile person recognition with audio-visual signals

Research output: Chapter in Book/Conference paperChapterpeer-review


This chapter starts with a general and brief introduction of biometrics and audiovisual person recognition using mobile phone data. It begins with a discussion of what constitutes a biometric recognition system, and it then details the steps followed when audio-visual signals are used as inputs. This is followed by a review of the existing speaker and face recognition systems which have been evaluated on a mobile biometric database. We then discuss the key motivations of using deep neural network (DNN) for person recognition. We finally introduce a Deep Boltzmann Machine (DBM)- DNN, in short DBM-DNN, based framework for person recognition. An overview of the sections and sub-sections of this chapter is shown in Figure 4.1.
Original languageEnglish
Title of host publicationMobile Biometrics
EditorsGuodong Guo, Harry Wechsler
Place of PublicationLondon
PublisherThe Institution of Engineering and Technology
Number of pages33
ISBN (Electronic)9781785610950
ISBN (Print)9781785610950
Publication statusPublished - 1 Jan 2017

Publication series

NameIET Book Series on Advances in Biometrics


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