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    汉字识别中PCLI特征提取的VLSI并行算法

    A Parallel VLSI Algorithm of PCLI Features Extraction for Chinese Character Recognition

    • 摘要: 本文在介绍汉字识别PCLI特征的基础上,结合并行处理技术,设计了PCLI特征提取的VLSI并行算法.算法用了N个处理单元(PEs),其时间复杂度由相应串行算法的O(N2)降到O(N).这种处理方法将有利于汉字识别速度的提高和其它性能的改进.

       

      Abstract: In this paper, based on an introduction to classification feactures——P.C.L.I. features for Chinese character Recognition, we design a parallel VLSI algorithm and its architecture for P.C.L.I features extraction. In this algorithm, we use N array processors. The time complexity of the parallel algorithm is O(N) while its serial algorithm's time complexity is O(N2). The idea of parallel processing will improve recognition speed and other recognition performance.

       

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