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Speedup thinning algorithm for character recognition

机译:用于字符识别的加速细化算法

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摘要

Thinning algorithms are widely used as a useful method of pre-processing in image process. In this paper, a high-speed thinning algorithm for character recognition is proposed. This method can be used by any thinning algorithms for speeding process without any changes of the thinning algorithms. The Hilditch thinning algorithm is adopted to verify the proposed method. With a 3x3 mask image in the Hilditch thinning algorithm, the result of process output can be saved to a memory "table". The output results of all different 3x3 masks are saved to this "table" at the beginning of character recognition. When an image will be processed, the thinning results of every 3x3 masks in the image can be extracted by the method of "looking for table". Thus the thinning result is same but the process speed is high. The proposed method has been evaluated by comparing the time cost of the proposed method and Hilditch thinning algorithm using different configured computers to process a same image and the result is satisfied.
机译:细化算法被广泛用作图像处理中的一种有用的预处理方法。本文提出了一种用于字符识别的高速细化算法。任何稀疏算法都可以使用此方法来加快处理过程,而无需改变稀疏算法。采用Hilditch稀疏算法对该方法进行了验证。使用Hilditch稀疏算法中的3x3蒙版图像,过程输出的结果可以保存到内存“表”中。在字符识别开始时,所有不同3x3蒙版的输出结果都保存到此“表”中。当将要处理图像时,可以通过“查找表”方法提取图像中每个3x3蒙版的细化结果。因此,稀疏效果相同,但是处理速度高。通过使用不同配置的计算机处理同一图像来比较该方法和Hilditch稀疏算法的时间成本,对该方法进行了评估。

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