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On Analysis of Rural and Urban Indian Fingerprint Images

  • C. Puri
  • K. Narang
  • A. Tiwari
  • M. Vatsa
  • R. Singh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6005)

Abstract

This paper presents a feasibility study to compare the performance of fingerprint recognition on rural and urban Indian population. The analysis shows that rural population is very challenging and existing algorithms/systems are unable to provide acceptable performance. On the other hand, fingerprint recognition algorithms provide comparatively better performance on urban population. The study also shows that poor images quality, worn and damaged patterns and some special characteristics affect the performance of fingerprint recognition.

Keywords

Recognition System Recognition Algorithm Poor Image Quality Forensic Application Fingerprint Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of fingerprint recognition. Springer, Heidelberg (2003)zbMATHGoogle Scholar
  2. 2.
    Jain, A.K., Bolle, R., Hong, L.: Online fingerprint verification. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(4), 302–314 (1997)CrossRefGoogle Scholar
  3. 3.
    Jain, A.K., Prabhakar, S., Hong, L., Pankanti, S.: Filterbank-based fingerprint matching. IEEE Transactions on Image Processing 9(5), 846–859 (2000)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • C. Puri
    • 1
  • K. Narang
    • 1
  • A. Tiwari
    • 1
  • M. Vatsa
    • 1
  • R. Singh
    • 1
  1. 1.IIITDelhiIndia

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