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  • 标题:Fingerprint Image Enhancement: Iterative Fast Fourier Transform Algorithm and Performance Evaluation
  • 本地全文:下载
  • 作者:Sandhya Tarar ; Ela Kumar
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2013
  • 卷号:6
  • 期号:4
  • 出版社:SERSC
  • 摘要: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.
  • 关键词:Iterative Fast Fourier Transform (IFFT); Fingerprint Identification System ;(FIS); Image Enhancement; False Minutia; Broken Ridges; Fast Fourier Transform (FFT)
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