Fingerprint image enhancement by super resolution with early stopping

Zhi Yuan, Jiong Wu, Sei Ichiro Kamata, Alireza Ahrary, Peimin Yan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper addressed the problem of multi-frame image super resolution and its implementation to fingerprint image. The use of computers in fingerprints recognition is highly desirable in many applications where security is an important concern. However, as the performance of fingerprint recognition algorithm relies heavily on the quality of the input fingerprint images, it is essential to incorporate a fingerprint enhancement algorithm in the minutiae extraction module. Typical approaches use Gabor filter to raise the contrast between fingerprint ridges and valleys. But few of them try to increase the very basic resolution of fingerprint image. Therefore, we proposed a computer vision solution to this problem which involves the technique of super resolution. This approach can be incorporated into any traditional fingerprint enhancement algorithm as a pre-processing step, rendering a better overall enhancement result.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Pages527-531
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009 - Shanghai, China
Duration: 2009 Nov 202009 Nov 22

Publication series

NameProceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Volume4

Conference

Conference2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
CountryChina
CityShanghai
Period09/11/2009/11/22

    Fingerprint

Keywords

  • Boundary constraint
  • Early stopping
  • Fingerprint enhancement
  • Maximize a Likelihood (ML)
  • Super Resolution (SR)

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering

Cite this

Yuan, Z., Wu, J., Kamata, S. I., Ahrary, A., & Yan, P. (2009). Fingerprint image enhancement by super resolution with early stopping. In Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009 (pp. 527-531). [5357637] (Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009; Vol. 4). https://doi.org/10.1109/ICICISYS.2009.5357637