Unsharp masking using quadratic filter for the enhancement of fingerprints in noisy background
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.
unsharp masking quadratic filter fingerprint volterra series singular value decomposition