Precise and Fast Form Identification Method by Using Adaptive Base Lines for Matching
暂无分享,去创建一个
Conventional form identification methods have been based on the normalization of an input image. So, if the base for normalization is different from that of the true model, it is difficult to identify its form. In this paper, we propose a form identification method, which prevents the difference from spreading throughout the process. In the method, the local ruled line structures are analyzed exhaustively by varying a pair of base lines of an input image and a model. The process is realized efficiently by generating the correspondence possibilities between ruled lines, and grouping these possibilities. We registered 100 models with a dictionary, and experimented on form identification under the various conditions. The result shows that the method has high accuracy and practical processing speed.
[1] N Otsu,et al. An automatic threshold selection method based on discriminate and least squares criteria , 1979 .
[2] Toyohide Watanabe,et al. Structure recognition of various kinds of table-form documents , 1994, Systems and Computers in Japan.
[3] Yasuto Ishitani,et al. Flexible and Robust Model Matching based on Association Graph for Form Image Understanding , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.