Palmprint recognition using correlation filter classifiers

Abstract

This paper introduces the application of correlation filter classifiers for palmprint identification and verification. Correlation filter classifiers have been previously applied to other biometric classification tasks, but not to classification of palmprint images. We describe how the extraction of an appropriate region of interest in the palmprint surface can be used to design correlation filters that accomplish 100% recognition on a database of 50 persons.