Efficient hardware implementation for fingerprint image enhancement using anisotropic gaussian filter

Tariq Mahmood Khan, Donald G. Bailey, Mohammad A.U. Khan, Yinan Kong

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

A real-time image filtering technique is proposed which could result in faster implementation for fingerprint image enhancement. One major hurdle associated with fingerprint filtering techniques is the expensive nature of their hardware implementations. To circumvent this, a modified anisotropic Gaussian filter is efficiently adopted in hardware by decomposing the filter into two orthogonal Gaussians and an oriented line Gaussian. An architecture is developed for dynamically controlling the orientation of the line Gaussian filter. To further improve the performance of the filter, the input image is homogenized by a local image normalization. In the proposed structure, for a middle-range reconfigurable FPGA, both parallel compute-intensive and real-Time demands were achieved. We manage to efficiently speed up the image-processing time and improve the resource utilization of the FPGA. Test results show an improved speed for its hardware architecture while maintaining reasonable enhancement benchmarks.

Original languageEnglish
Article number7859424
Pages (from-to)2116-2126
Number of pages11
JournalIEEE Transactions on Image Processing
Volume26
Issue number5
DOIs
Publication statusPublished - 1 May 2017

Keywords

  • Fingerprint image enhancement
  • FPGA
  • oriented Gaussian filter

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