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首页> 外文期刊>International Journal of Engineering Research and Applications >Finger Vein &Texture Recognization Using Score Level Fusion And 2-D Gabor Filter For Human Identification
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Finger Vein &Texture Recognization Using Score Level Fusion And 2-D Gabor Filter For Human Identification

机译:基于得分融合和二维Gabor滤波的手指静脉纹理识别技术

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In this paper, an efficient method for high speed hardware implementation of AES algorithm is presented. So far, many implementations of AES have been proposed, for various goals that effect the Sub Byte transformation in various ways. These methods of implementation are based on combinational logic and are done in polynomial bases. In the proposed architecture, it is done by using composite field arithmetic in normal bases. In addition, efficient key expansion architecture suitable for 6 sub pipelined round units is also presented. These designs were described using VerilogHDL, simulated using Modelsim
机译:本文提出了一种高效的高速硬件实现AES算法的方法。到目前为止,已经提出了AES的许多实现,以各种目的以各种方式实现Sub Byte转换的目标。这些实现方法基于组合逻辑,并以多项式为基础。在提出的体系结构中,它是通过在常规基础中使用复合场算法来完成的。此外,还提出了适用于6个子管道循环单元的有效密钥扩展体系结构。使用VerilogHDL描述了这些设计,并使用Modelsim进行了仿真

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