z-logo
open-access-imgOpen Access
Phase congruency features for palm-print verification
Author(s) -
Vitomir Štruc,
Nikola Paves̆ić
Publication year - 2009
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2008.0152
Subject(s) - palm print , computer science , feature extraction , artificial intelligence , feature (linguistics) , set (abstract data type) , palm , linear discriminant analysis , pattern recognition (psychology) , image (mathematics) , identity (music) , scanner , computer vision , biometrics , linguistics , philosophy , physics , quantum mechanics , acoustics , programming language
The existing palm-print verification schemes have demonstrated good verification performance when identity claims have to be verified based on palm-print images of adequate quality (e.g. acquired in controlled illumination conditions, free from distortions caused by the pressure applied to the surface of the scanner etc.). However, most of these schemes struggle with their verification performance...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom