Mo S, Mathews J
Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT 84112, USA.
IEEE Trans Image Process. 1998;7(7):992-9. doi: 10.1109/83.701155.
This paper presents an adaptive algorithm for preprocessing document images prior to binarization in character recognition problems. Our method is similar in its approach to the blind adaptive equalization of binary communication channels. The adaptive filter utilizes a quadratic system model to provide edge enhancement for input images that have been corrupted by noise and other types of distortions during the scanning process. Experimental results demonstrating significant improvement in the quality of the binarized images over both direct binarization and a previously available preprocessing technique are also included.
本文提出了一种用于字符识别问题中二值化之前对文档图像进行预处理的自适应算法。我们的方法在其方法上类似于二进制通信信道的盲自适应均衡。自适应滤波器利用二次系统模型为在扫描过程中已被噪声和其他类型失真破坏的输入图像提供边缘增强。还包括实验结果，这些结果表明与直接二值化和先前可用的预处理技术相比，二值化图像的质量有显著提高。
