Title :
Iris image quality assessment based on FPGA coprocessor
Author :
Zhang, Y ; Lu, X F ; Lu, H L ; Liu, Wenyu
Author_Institution :
School of Conmunication and Information Enginieering, Shanghai University, China
Abstract :
The quality of iris image is a key point to affect the accuracy of iris recognition system. There are four main abnormities of captured iris image: defocus, motion blur, eyelid occlusion and eyelash occlusion. They can be distinguished by comparing different frequency components of the image. This paper describes a technique of using Field Programmable Gate Arrays (FPGA) coprocessor to assess the quality of the iris image in a Texas Instrument (TI) Digital Signal Processor (DSP) based Iris Recognition System, by implementing Laplacian Sharpening and 2D-FFT transform on the chip. FPGA has become an extremely cost-effective mean of computing algorithms to improve system performance and enhance the computation capability and flexibility of the iris recognition system based on DSP.
Keywords :
FPGA coprocessor; Iris Image; Quality Assessment;
Conference_Titel :
Wireless Mobile and Computing (CCWMC 2009), IET International Communication Conference on
Conference_Location :
Shanghai, China