| 一种基于凹凸特性的脱机英文字母识别方法 |
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| 引用本文： | 罗佳. 一种基于凹凸特性的脱机英文字母识别方法[J]. 贵州教育学院学报, 2008, 19(12): 41-43 |
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| 作者姓名： | 罗佳 |
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| 作者单位： | 电子科技大学成都学院 |
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| 摘 要： | 提出了一种基于整体（凹凸）特性的脱机大写体英文字母识别方法。首先计算字母图像的赋值背景，再从中提取凹凸特性，然后根据凹凸特性构建分类表进行分类识别。
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| 关 键 词： | 凹凸特性 赋值背景 神经网络 |
A new method for off-line recognition of English letters based on concave-and-convex feature |
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| LUO Jia. A new method for off-line recognition of English letters based on concave-and-convex feature[J]. Journal of Guizhou Educational College(Social Science Edition), 2008, 19(12): 41-43 |
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| Authors: | LUO Jia |
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| Affiliation: | LUO Jia (Chengdu College of University of Electronic Science and Technology, Sichuan Chengdu 611731 China) |
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| Abstract: | In this paper,a new method with concave-and-convex feature is proposed for the off-line English letters' recognition.First the value associated background of letter's image is found and the convex-and-concave feature is extracted,then,the classification tables are constructed. |
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| Keywords: | convex-and-concave feature value-associated background neural network |
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