| 煤炭行业办公中光学文字识别的研究 |
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| 引用本文： | 张灿彬. 煤炭行业办公中光学文字识别的研究[J]. 煤炭技术, 2010, 29(4) |
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| 作者姓名： | 张灿彬 |
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| 作者单位： | 南京工业大学,信息科学与工程学院,南京,210009 |
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| 摘 要： | 字体识别的性能是光学文字识别(Optical Character Recognition)的识别性能的关键。为了获得更好的字符识别的性能,提出了算法,进行了探索。针对字符的特征向量的维数较大的特点,对特征向量进行了降维,减少了运算量,最后通过实验证实了算法具有不错的识别率。
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| 关 键 词： | OCR 特征提取 特征匹配 煤炭 |
Research on OCR in Coal Enterprise |
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| ZHANG Can-bin. Research on OCR in Coal Enterprise[J]. Coal Technology, 2010, 29(4) |
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| Authors: | ZHANG Can-bin |
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| Affiliation: | College of Information Science and Engineering/a>;Nanjing University of Technology/a>;Nanjing 210009/a>;China |
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| Abstract: | The performance of recognizing character is the key to the performance of the Optical Character Recognition. To get the better performance of character recognition, arithmetic is supposed to explore. Based the dimension of eigenvector is big, a method is supposed to reduce the dimension as the same time the computational complexity is reduced. Finally the test shows that the arithmetic works well. |
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| Keywords: | OCR feature extraction feature matching coal |
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