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Hardware-software co-design of an iris recognition algorithm

机译:虹膜识别算法的软软件协同设计

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This study describes the implementation of an iris recognition algorithm based on hardware??software co-design. The system architecture consists of a general-purpose 32-bit microprocessor and several slave coprocessors that accelerate the most intensive calculations. The whole iris recognition algorithm has been implemented on a low-cost Spartan 3 FPGA, achieving significant reduction in execution time when compared with a conventional software-based application. Experimental results show that with a clock speed of 40 MHz, an IrisCode is obtained in <523 ms from an image of 640 ?? 480 pixels, which is just 20% of the total time needed by a software solution running on the same microprocessor embedded in the architecture.
机译:这项研究描述了基于硬件—软件协同设计的虹膜识别算法的实现。系统架构由一个通用的32位微处理器和几个从属协处理器组成,这些协处理器可以加快最密集的计算速度。整个虹膜识别算法已在低成本的Spartan 3 FPGA上实现,与传统的基于软件的应用程序相比,可显着减少执行时间。实验结果表明,以40 MHz的时钟速度,在<523 ms内从640Ω的图像中获得了一个IrisCode。 480像素,仅占在体系结构中嵌入的同一微处理器上运行的软件解决方案所需总时间的20%。

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