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Data Management for Fingerprint Recognition Algorithm Based on Characteristic Points’ Groups

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New Trends in Databases and Information Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 185))

Abstract

In this paper authors presents data managment solutions for biometric system base on firngerprint recognitoin. They compared existing fingerprint recognition data store methods and their own solutions for algorithm wich base on minutes groups. Authors proposed a new algorithm based on distribution minutiaes’ groups using selective attention algorithms, which store only base information about minutiaes’ positions. The proposed algorithm was compared with existing solutions during analysis of damage fingerprints using false acceptation rate and false rejection rate.

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Correspondence to Michał Szczepanik .

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Szczepanik, M., Jóźwiak, I. (2013). Data Management for Fingerprint Recognition Algorithm Based on Characteristic Points’ Groups. In: Pechenizkiy, M., Wojciechowski, M. (eds) New Trends in Databases and Information Systems. Advances in Intelligent Systems and Computing, vol 185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32518-2_40

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  • DOI: https://doi.org/10.1007/978-3-642-32518-2_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32517-5

  • Online ISBN: 978-3-642-32518-2

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