An Efficient Multi-algorithmic Fusion System Based on Palmprint for Personnel Identification

Author

Badrinath, G.S. ; Gupta, Phalguni

Author_Institution

Indian Inst. of Technol. Kanpur, Kanpur

fYear

2007

fDate

18-21 Dec. 2007

Firstpage

759

Lastpage

764

Abstract

This paper proposes an efficient biometric system for personnel identification of an individual. It is based on Karhunen-Loeve and Haar wavelet transform features of human hand. A low cost scanner is used to acquire image for biometric features. The palmprint features which are independent to hand translation and rotation on the scanner are extracted. Fusion at the matching score level is done by means of the dynamic weighted sum rule. The system is tested on IITK database of 200 images and PolyU Database of 7751 images. The system is found to have 94.80% accuracy with 4.73% FAR and 5.66% FRR.

Keywords

Haar transforms; Karhunen-Loeve transforms; biometrics (access control); image matching; sensor fusion; wavelet transforms; Haar wavelet transform; IITK database; Karhunen-Loeve transform; PolyU Database; biometric system; dynamic weighted sum rule; multialgorithmic fusion system; personnel identification; Biometrics; Feature extraction; Geometry; Hamming distance; Humans; Image databases; Karhunen-Loeve transforms; Personnel; Spatial databases; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on

Conference_Location

Guwahati, Assam

Print_ISBN

0-7695-3059-1

Type

conf

DOI

10.1109/ADCOM.2007.40

Filename

4426058