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Abstract

In this chapter, the authors have described that in order to design the vein enhancement and feature extraction algorithm, different modules such as DSP, embedded processor, hardware accelerator, and FPGA are implemented. Further, it has also been revealed in this chapter that the performance of the vein algorithm implemented on the Nios-II and DSP processor is not considered fast though the DSP processor is designed for signal processing applications. The FPGA is an acceptable choice for researchers due to low-cost factors. The FPGA is implemented for the hardware design of the vein algorithm. However, the performance result was not fast. Furthermore, to cater to the need for better performance, innovative hardware design architecture is the need of the time. It is observed that if there are considerable calculations in the algorithm, the optimization of the algorithm with the parallel processing capabilities of hardware will be a good choice as it can mitigate the error of the calculations.
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硬件设计方法的一瞥
在本章中,作者描述了为了设计静脉增强和特征提取算法,实现了不同的模块,如DSP、嵌入式处理器、硬件加速器和FPGA。此外,本章还揭示了在Nios-II和DSP处理器上实现的静脉算法的性能并不快,尽管DSP处理器是为信号处理应用而设计的。由于低成本因素,FPGA是研究人员可以接受的选择。采用FPGA实现了静脉算法的硬件设计。然而,性能结果并不快。此外,为了迎合更好的性能需求,创新的硬件设计架构是时代的需要。可以看出,如果算法中有大量的计算,那么利用硬件的并行处理能力对算法进行优化将是一个很好的选择,因为它可以减轻计算的误差。
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