Unsharp masking using quadratic filter for the enhancement of fingerprints in noisy background

作者：

Highlights：

• We designed and implemented a quadratic filter for enhancing noisy fingerprints.

• The filter is based on truncated Volterra series that can model polynomial nonlinearities.

• It is tested with fingerprints that are corrupted by Gaussian and impulsive noise of different variances.

• The performance parameters are observed to be better than conventional image filters.

摘要

Highlights•We designed and implemented a quadratic filter for enhancing noisy fingerprints.•The filter is based on truncated Volterra series that can model polynomial nonlinearities.•It is tested with fingerprints that are corrupted by Gaussian and impulsive noise of different variances.•The performance parameters are observed to be better than conventional image filters.

论文关键词：Fingerprint,Quadratic filter,Volterra series,Singular value decomposition,Unsharp masking

论文评审过程：Received 30 January 2012, Revised 20 March 2013, Accepted 5 May 2013, Available online 22 May 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.05.014