版面相似中文表单的分类方法研究
A Study on Classification of Forms with Similar Layout

摘要 针对具有相似版面的中文表单, 提出一种简单有效的基于距离度量的表单分类方法, 该方法对表单的用户填写信息、布局信息和位置偏移分别进行距离度量, 并通过3种权重有效地降低用户填写信息的随机性、版面相似表单的布局一致性和位置抖动性对表单分类的影响。实验表明, 所提方法在多个中文表单图像库上的分类准确率达到90%以上, 比目前最新的表单分类方法有明显提高。
Abstract The authors propose a simple but effective distance based method to identify forms with similar layouts by measuring the user filled-in data, preprinted data and dithering data. The proposed method utilizes three kinds of weight components to mitigate the impact of randomness of user filled-in data, consistency of similar layouts and position dithering respectively. Experimental results show that the proposed method can achieve more than 90% classification accuracy on a series of data sets, which is significantly better than the results of the state-of-the-art method.