Local-spectrum-based distinction between handwritten and machine-printed characters
Local-spectrum-based distinction between handwritten and machine-printed characters
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DOI：
10.1109/icip.2008.4711931
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发表时间：
2008-12
期刊：
影响因子：
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通讯作者：
Jumpei Koyama;A. Hirose;Masahiro Kato
中科院分区：
文献类型：
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作者：
Jumpei Koyama;A. Hirose;Masahiro Kato
在本文中，我们提出了一种区分手写字符和机器打印字符的方法，无需定位字符或文本行位置。我们将文档图像中的局部区域变换到频域以提取包括手写引起的波动的特征值。我们将特征值输入优化的多层感知器 (MLP)，以获得手写的可能性。我们将该方法称为谱域局部波动检测（SDLFD）方法。实验结果表明，我们的方法无需文本行位置信息即可区分手写字符和机器打印字符。我们还发现该方案对于扫描分辨率的变化具有鲁棒性。
In this paper, we propose a method to distinguish between handwritten and machine-printed characters with no need to locate character or text-line positions. We transform a local region in a document image into frequency domain to extract feature values including fluctuations caused by handwriting. We feed the feature values to an optimized multilayer perceptron (MLP) to get likelihood of handwriting. We call this method the spectrum-domain local fluctuation detection (SDLFD) method. Experimental results show that our method distinguishes handwritten characters from machine-printed ones with no need of text-line position information. We also found that the scheme is robust against the change in scanning resolution.