An integration of biometrics and mobile computing for personal identification

Jia You; K. H. Cheung; Q. Li; P. Bhattacharya

An integration of biometrics and mobile computing for personal identification

Jia You, K. H. Cheung, Q. Li, P. Bhattacharya

Research output: Journal article publication › Conference article › Academic research › peer-review

Abstract

This paper presents a new approach to efficient and effective personal identification for the security of network access by combining techniques in biometrics and mobile computing. To overcome the limitations of the existing password-based authentication services on the Internet, we propose a dynamic feature selection scheme to extract multiple personal features and integrate them in a hierarchical structure for fast and reliable identity authentication. To increase the speed and flexibility of the process, we use mobile agents as a navigational tool for parallel implementation in a distributed environment, which includes hierarchical biometric feature extraction, multiple feature integration, dynamic biometric data indexing and guided search.

Original language	English
Pages (from-to)	226-235
Number of pages	10
Journal	Lecture Notes in Computer Science
Volume	3687
Issue number	PART II
Publication status	Published - 4 Nov 2005
Event	Third International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, United Kingdom Duration: 22 Aug 2005 → 25 Aug 2005

Keywords

Biometrics computing
Feature extraction and indexing
Guided search
Identity authentication and verification
Mobile computing

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

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title = "An integration of biometrics and mobile computing for personal identification",

abstract = "This paper presents a new approach to efficient and effective personal identification for the security of network access by combining techniques in biometrics and mobile computing. To overcome the limitations of the existing password-based authentication services on the Internet, we propose a dynamic feature selection scheme to extract multiple personal features and integrate them in a hierarchical structure for fast and reliable identity authentication. To increase the speed and flexibility of the process, we use mobile agents as a navigational tool for parallel implementation in a distributed environment, which includes hierarchical biometric feature extraction, multiple feature integration, dynamic biometric data indexing and guided search.",

keywords = "Biometrics computing, Feature extraction and indexing, Guided search, Identity authentication and verification, Mobile computing",

author = "Jia You and Cheung, \{K. H.\} and Q. Li and P. Bhattacharya",

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journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

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note = "Third International Conference on Advances in Patten Recognition, ICAPR 2005 ; Conference date: 22-08-2005 Through 25-08-2005",

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TY - JOUR

T1 - An integration of biometrics and mobile computing for personal identification

AU - You, Jia

AU - Cheung, K. H.

AU - Li, Q.

AU - Bhattacharya, P.

PY - 2005/11/4

Y1 - 2005/11/4

N2 - This paper presents a new approach to efficient and effective personal identification for the security of network access by combining techniques in biometrics and mobile computing. To overcome the limitations of the existing password-based authentication services on the Internet, we propose a dynamic feature selection scheme to extract multiple personal features and integrate them in a hierarchical structure for fast and reliable identity authentication. To increase the speed and flexibility of the process, we use mobile agents as a navigational tool for parallel implementation in a distributed environment, which includes hierarchical biometric feature extraction, multiple feature integration, dynamic biometric data indexing and guided search.

AB - This paper presents a new approach to efficient and effective personal identification for the security of network access by combining techniques in biometrics and mobile computing. To overcome the limitations of the existing password-based authentication services on the Internet, we propose a dynamic feature selection scheme to extract multiple personal features and integrate them in a hierarchical structure for fast and reliable identity authentication. To increase the speed and flexibility of the process, we use mobile agents as a navigational tool for parallel implementation in a distributed environment, which includes hierarchical biometric feature extraction, multiple feature integration, dynamic biometric data indexing and guided search.

KW - Biometrics computing

KW - Feature extraction and indexing

KW - Guided search

KW - Identity authentication and verification

KW - Mobile computing

UR - https://www.scopus.com/pages/publications/27244456970

M3 - Conference article

SN - 0302-9743

VL - 3687

SP - 226

EP - 235

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - PART II

T2 - Third International Conference on Advances in Patten Recognition, ICAPR 2005

Y2 - 22 August 2005 through 25 August 2005

ER -

An integration of biometrics and mobile computing for personal identification

Abstract

Keywords

ASJC Scopus subject areas

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