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首页> 外文会议>Conference on Document Recognition and Retrieval Ⅷ Jan 24-25, 2001, San Jose, USA >Estimating scanning characteristics from corners in bilevel images
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Estimating scanning characteristics from corners in bilevel images

机译：从双层图像的角落估计扫描特性

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摘要

Degradations that occur during scanning can cause errors in Optical Character Recognition (OCR). Scans made in bilevel mode (no grey scale) from high contrast source patterns are the input to the estimation processes. Two scanner system parameters are estimated from bilevel scans using models of the scanning process and bilevel source patterns. The scanner's point spread function (PSF) width and the binarization threshold are estimated by using corner features in the scanned images. These estimation algorithms were tested in simulation and with scanned test patterns. The resulting estimates are close in value to what is expected based on grey-level analysis. The results of estimation are used to produce synthetically scanned characters that in most cases bear a strong resemblance to the characters scanned on the scanner at the same settings as the test pattern used for estimation.
机译：扫描过程中发生的降级会导致光学字符识别（OCR）错误。从高对比度源模式以双级模式（无灰度）进行的扫描是估计过程的输入。使用扫描过程和双层源模式的模型，从双层扫描中估计出两个扫描仪系统参数。扫描器的点扩展函数（PSF）宽度和二值化阈值通过使用扫描图像中的角点特征来估计。这些估计算法已在仿真和扫描测试模式下进行了测试。所得估计值与基于灰度分析的预期值接近。估计的结果用于生成合成扫描的字符，在大多数情况下，这些字符与在用于估计的测试图案相同的设置下与在扫描仪上扫描的字符非常相似。

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