Multibiometric: Feature Level Fusion Using FKP Multi-Instance biometric

Autor:	AlMahafzah, Harbi, Imran, Mohammad, Sheshadri, H. S.
Rok vydání:	2012
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Zdroj:	IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012
Druh dokumentu:	Working Paper
Popis:	This paper proposed the use of multi-instance feature level fusion as a means to improve the performance of Finger Knuckle Print (FKP) verification. A log-Gabor filter has been used to extract the image local orientation information, and represent the FKP features. Experiments are performed using the FKP database, which consists of 7,920 images. Results indicate that the multi-instance verification approach outperforms higher performance than using any single instance. The influence on biometric performance using feature level fusion under different fusion rules have been demonstrated in this paper. Comment: 8 pages paper
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1210.0818 Zobrazit plný text záznamu View this record from Arxiv