Title :
Iris Biometic Processor Enhanced Module FPGA-Based Design
Author :
Zhou Hu-lin ; Xie Mei
Author_Institution :
Lab. 537, UESTC, Chengdu, China
Abstract :
Iris Identification is nowadays one of the most promising techniques in Authentication. Most modern iris recognition systems are currently deployed on traditional sequential digital systems, such as a simple DSPs or MIPS processor. However, in this method, we can only match each data one by one, which will waste much time. In this study, iris matching, a repeatedly executed portion of a modern iris recognition algorithm is parallelized on an FPGA system. We demonstrate a 22 times speedup of the parallelized algorithm on the FPGA system when compared to a simple DSPs.
Keywords :
digital signal processing chips; field programmable gate arrays; image matching; iris recognition; parallel algorithms; DSP processor; FPGA system; MIPS processor; authentication; iris biometic processor enhanced module; iris identification; iris matching; parallelized algorithm; sequential digital system; Automatic control; Biometrics; Digital signal processing; Feature extraction; Field programmable gate arrays; Gabor filters; Iris recognition; Read-write memory; Registers; Timing; FPGA; Iris recongnition; matching; parallel process;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.79