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A Multi-layered Pipeline Architecture for the Chinese Characters Recognition Chip

机译:用于汉字识别芯片的多层管道架构

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摘要

In the recognition of Chinese handwritten characters, it is a pattern matching process with large number of standard patterns. This is the bottleneck of the recognition speed. In this paper, a multi-layered pipeline architecture is devised to solve this bottleneck. The technology of multi-bank storage, parallel computing, etc. is also implemented to optimize the architecture. Therefore, a high recognition speed is achieved. The experimental system is implemented on a Xilinx XC4013E FPGA chip. It will be migrated to a custom VLSI chip in the future.
机译:在识别中国手写字符中,它是具有大量标准模式的模式匹配过程。这是识别速度的瓶颈。在本文中,设计了一种多层管道架构来解决这个瓶颈。还实现了多银行存储,并行计算等技术以优化架构。因此,实现了高识别速度。实验系统在Xilinx XC4013E FPGA芯片上实现。它将将来迁移到自定义VLSI芯片。

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