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The design of efficient algorithms for two-dimensional pattern matching

机译:二维模式匹配的高效算法设计

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The two-dimensional pattern matching problem finds the occurrences of a given two-dimensional pattern array in a two-dimensional text array. The paper presents two efficient algorithms, which combine Fan-Su (1993) and Aho-Corasick (1979) string search algorithms, to solve this problem. The proposed algorithms need not inspect each character of the text array during the pattern matching in most cases. Additionally, unlike the algorithms proposed by Zhu and Takaoka (1989) which are based on the hashing method, these new algorithms require no preprocessing of the text array. A comparison of the performance of various algorithms is presented. The result shows that the proposed algorithms are about three to six times faster than the best algorithm proposed previously when the size of the pattern array is less than 1/100 of the size of the text array, which occurs frequently in many applications.
机译:二维模式匹配问题可以找到二维文本数组中给定的二维模式数组的出现。本文提出了两种有效的算法,它们结合了Fan-Su(1993)和Aho-Corasick(1979)字符串搜索算法来解决这个问题。在大多数情况下,提出的算法无需在模式匹配期间检查文本数组的每个字符。另外,与Zhu和Takaoka(1989)提出的基于哈希方法的算法不同,这些新算法不需要对文本数组进行预处理。给出了各种算法性能的比较。结果表明,当模式数组的大小小于文本数组大小的1/100时,所提出的算法比以前提出的最佳算法快大约三到六倍,这在许多应用中经常发生。

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