A Minutiae Selection Algorithm (MSA) for efficient palmprint matching using Histograms of Differences (HoDs)

Mehmood, Atif; Taj, Imtiaz A.; Ghafoor, Mubeen

doi:10.1016/j.eswa.2023.120734

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

customersupport@researchsolutions.com

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

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

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 Minutiae Selection Algorithm (MSA) for efficient palmprint matching using Histograms of Differences (HoDs)

Cited by 3 publications

References 35 publications

Enhancing latent palmprints using frequency domain analysis

Enhancing latent palmprints using frequency domain analysis

Composite fixed-length ordered features with index-of-max transformation for high-performing and secure palmprint template protection

Robust Fingerprint Minutiae Extraction and Matching Using Fully Connected Deep Convolutional Neural Network and Improved SIFT

Contact Info

Product

Resources

About