Title :
Palmprint recognition using correlation filter classifiers
Author :
Hennings, Pablo ; Kumar, B. V K Vijaya
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
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.
Keywords :
correlation methods; feature extraction; filtering theory; fingerprint identification; image classification; visual databases; biometric classification; correlation filter classifier; database; feature extraction; palmprint identification; palmprint verification; recognition; Application software; Authentication; Biometrics; Data security; Feature extraction; Filters; Fingerprint recognition; Image databases; Image recognition; Impulse testing;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
DOI :
10.1109/ACSSC.2004.1399197
