Audio Visual System for Large Scale People Authentication and Recognition over Internet Protocol (IP)

S I Ch'ng; K P Seng; Li-Minn Ang; F T Ong

doi:10.4018/978-1-4666-2919-6.ch045

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Audio Visual System for Large Scale People Authentication and Recognition over Internet Protocol (IP)

Book chapter

Peer reviewed

Audio Visual System for Large Scale People Authentication and Recognition over Internet Protocol (IP)

S I Ch'ng, K P Seng, Li-Minn Ang and F T Ong

IT Policy and Ethics: Concepts, Methodologies, Tools, and Applications, pp.997-1017

IGI Global

2013

DOI: https://doi.org/10.4018/978-1-4666-2919-6.ch045

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Abstract

Architecture

Speech recognition

Audio systems

Authentication

Biometrics

Network architecture

Population statistics

Security of data

Large-scale deployment

Literature reviews

People recognition

Population training

Proposed architectures

Biometrics is a promising and viable solution to enhance information security systems compared to passwords. However, there are still several issues regarding large-scale deployment of biometrics in real-world situations that need to be resolved before biometrics can be incorporated together. One of these issues is the occurrence of high training time while enrolling a large amount of people into the system. Hence, in this chapter, the authors present the training architecture for an audio visual system for large scale people recognition over internet protocol. In the proposed architecture, a selection criteria divider unit is used to decompose the large scale people or population into smaller groups whereby each group is trained subsequently. As the input dimensions of each group is reduced compared to the original data size, the proposed structure greatly reduces the overall training time required. To combine the scores from all groups, a two-level fusion based on weighted sum rule and max rule is also proposed in this chapter. The implementation results of the proposed system show a great reduction in training time compared to a similar system trained by conventional means without any compromise on the performance of the system. In addition to the proposal of a scalable training architecture for large-scale people recognition based on audio visual data, a literature review of available audio visual speaker recognition systems and large-scale population training architectures are also presented in this chapter.

Details

Title: Audio Visual System for Large Scale People Authentication and Recognition over Internet Protocol (IP)
Authors: S I Ch'ng (Author) - University of Nottingham Malaysia Campus
K P Seng (Author) - Sunway University
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
F T Ong (Author) - University of Nottingham Malaysia Campus
Contributors: Information Resources Management Association (USA) (Editor)
Publication details: IT Policy and Ethics: Concepts, Methodologies, Tools, and Applications, pp.997-1017
Publisher: IGI Global
Date published: 2013
DOI: 10.4018/978-1-4666-2919-6.ch045; 10.4018/978-1-4666-2919-6
ISBN: 9781466629202
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513904702621
Output Type: Book chapter

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