A New Fingerprint Image Enhancement based on Decimation-Free Directional Filter Bank

Directional Filter Banks (DFB) is a method for directional decomposition. It has been used in image enhancement procedure that involved image with many edges. The design of Decimation-Free Directional Filter Bank (DDFB) is made to give a better result for enhancement. However, the design cannot give an adaptive directional decomposition based on input image. In this paper, we proposed a Non-Uniform Decimation-Free Directional Filter Bank (NUDDFB) using Histogram Analysis for Image Enhancement. NUDDFB can build an adaptive directional filter depends on the input image. The result shows that NUDDFB can separate each directional image better than DDFB. The use of this method in image enhancement helps to retain the image from over enhancement.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A New Fingerprint Image Enhancement based on Decimation-Free Directional Filter Bank

Cited by 2 publications

References 7 publications

Fingerprint enhancement over the past few years

Fingerprint enhancement over the past few years

Non-uniform decimation-free directional filter bank using histogram analysis for image enhancement

Contact Info

Product

Resources

About