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Fingerprint Image Enhancement: Iterative Fast Fourier Transform Algorithm and Performance Evaluation

초록

영어

Fingerprint Identification System performance largely depends on the quality of input fingerprint images. High quality input fingerprint images are prerequisite for high performance systems. In this paper, we have proposed an algorithm of fingerprint image enhancement by using Iterative Fast Fourier Transform (IFFT). Iterative image reconstruction algorithms play an important role in fingerprint identification systems in order to achieve higher degree of efficiency. With the fast increase of the sizes of the fingerprint data, design of the reconstruction algorithms is of great importance in order to improve the performance. Fourier-based frequency orientation methods have the potential to considerably reduce the computation time in iterative reconstruction. We also have designed an approach for removing the false minutia generated during the fingerprint processing and a method to reduce the false minutia to increase the efficacy of identification system. We have used fingerprint Verification Competition 2006 (FVC 2006) as a database for implementation of proposed algorithm to verify the degree of efficiency of proposed algorithm. Experimental result shows that the proposed enhancement algorithm is better than existing Fast Fourier Transform algorithm.

목차

Abstract
 1. Introduction
 2. Previous Work
 3. Proposed Algorithm
 4. Broken Ridges/False Minutia Detection
 5. Minutia Matching Method
 6. Experimental Results and Discussion
 7. Evaluation Indexes for Fingerprint Recognition
 8. Conclusion
 References

저자정보

  • Sandhya Tarar School of ICT, Gautam Buddha University
  • Ela Kumar School of ICT, Gautam Buddha University

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