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Fingerprint Denoising Using Iterative Rule-Based Filter

  • Research Article-Computer Engineering and Computer Science
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Abstract

A fingerprint authentication plays an important role in computer security in the modern world to prevent hacking and to safeguard valuable information of users. Fingerprint authentication is vulnerable against noisy environment, particularly, the salt and pepper noise damages the fingerprint image, and consequently, the false recognition accuracy is increased. Currently, the major challenges in the field of fingerprint denoising are the lack of peak signal-to-noise ratio, which is unfit for huge noise, and the damage of ridge and valley structures. The aim of this article is the effective restoration of ridge structures of noisy fingerprint images corrupted by heavy salt and pepper noise. In an attempt to address this problem, this paper proposes a fingerprint denoising method, namely 'iterative rule-based filter (IRF)'. This novel filter comprises the five techniques, namely iterative approach, rule-based noise reduction, mean computation, median computation, majority-oriented denoising and MinMax oriented denoising to effectively remove the impulse noise. The main contribution of this denoising research is the framing of essential rules to define the applicable ranges of neighbor elements count for different denoising filters on account of the successive iterative procedures with multiwindow sizes. The proposed IRF filter consists of five iterations with varying window sizes. The novel incorporation of majority- and MinMax-guided noise-free value prediction scheme induces the denoising quality to a superior level. The IRF filter gains high peak signal-to-noise ratio and image enhancement factor, compared to the existing denoising methods. The proposed filter is appropriate for the enhancement of fingerprint due to its restoration range of more than 90% noise environment.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Tamilnadu, India

    H. Mohamed Khan & P. Venkadesh

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  1. H. Mohamed Khan
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  2. P. Venkadesh
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Correspondence to H. Mohamed Khan.

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Khan, H.M., Venkadesh, P. Fingerprint Denoising Using Iterative Rule-Based Filter. Arab J Sci Eng 47, 10187–10201 (2022). https://doi.org/10.1007/s13369-021-06429-2

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  • DOI: https://doi.org/10.1007/s13369-021-06429-2

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