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Efficient Biometric Indexing and Retrieval Techniques for Large-Scale SystemsIntroduction

Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems: Introduction [In biometric identification systems, the identity corresponding to an individual is determined by comparing his/her template against all user templates in the database. This exhaustive matching process increases the response time and the number of false matches of the system. An effective mechanism is required that reduces the number of templates to be compared with the query during identification. Biometric indexing is such technique that limits the search space and identifies an individual in real time with high accuracy. Many authors have presented a number of biometric indexing techniques. This chapter explores the fundamentals of biometric indexing, its challenges, classifying and benchmarking along with a number of techniques proposed by various researchers.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Efficient Biometric Indexing and Retrieval Techniques for Large-Scale SystemsIntroduction

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2017
ISBN
978-3-319-57659-6
Pages
1 –20
DOI
10.1007/978-3-319-57660-2_1
Publisher site
See Chapter on Publisher Site

Abstract

[In biometric identification systems, the identity corresponding to an individual is determined by comparing his/her template against all user templates in the database. This exhaustive matching process increases the response time and the number of false matches of the system. An effective mechanism is required that reduces the number of templates to be compared with the query during identification. Biometric indexing is such technique that limits the search space and identifies an individual in real time with high accuracy. Many authors have presented a number of biometric indexing techniques. This chapter explores the fundamentals of biometric indexing, its challenges, classifying and benchmarking along with a number of techniques proposed by various researchers.]

Published: May 10, 2017

Keywords: Biometrics; Verification; Identification; Indexing; Classification

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