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Application of Simulated Annealing Algorithm in Fingerprint Matching

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Applied Informatics and Communication (ICAIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 226))

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Abstract

The fingerprint feature extraction and matching are significance in fingerprint identification system. This paper uses Gabor filterbank to extract both global and local features of the fingerprints. Then apply simulated annealing algorithm to match these features identified from fingerprint images. The preliminary results suggest that simulated annealing algorithm is simple and effective to obtain satisfactory results with adjustable parameters. The results also show the feasibility and characteristics of simulated annealing algorithm in fingerprint matching and provide reference of simulated annealing algorithm application in other related research areas.

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Author information

Authors and Affiliations

  1. College of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Xiaofang Pei

  2. School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Nan Li

  3. College of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Shuiping Wang

Authors
  1. Xiaofang Pei
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  2. Nan Li
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  3. Shuiping Wang
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Editor information

Editors and Affiliations

  1. Suzhou University, No. 50 Donghuan Road, 215021, China

    Jianwei Zhang

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© 2011 Springer-Verlag Berlin Heidelberg

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Pei, X., Li, N., Wang, S. (2011). Application of Simulated Annealing Algorithm in Fingerprint Matching. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23235-0_5

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  • DOI: https://doi.org/10.1007/978-3-642-23235-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23234-3

  • Online ISBN: 978-3-642-23235-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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