Statistics Oriented Preprocessing of Document Image
Keywords:
Document image analysis, image analysis, moments, optical character recognition, statistical analysis, text skewAbstract
Old printed documents represent an important part of our cultural heritage. Their digitalization plays an important role in creating data and metadata. The paper proposed an algorithm for estimation of the global text skew. First, document image is binarized reducing the impact of noise and uneven illumination. The binary image is statistically analyzed and processed. Accordingly, redundant data have been excluded. Furthermore, the convex hulls are established encircling each text object. They are joined establishing connected components. Then, the connected components in complementary image are enlarged with morphological dilation. At the end, the biggest connected component is extracted. Its orientation is similar to the global orientation of text document which is calculated by the moments. Efficiency and correctness of the algorithm are verified by testing on a custom dataset.Downloads
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Published
2015-10-19
How to Cite
Brodić, D., Maluckov, Čedomir A., & Peng, L. (2015). Statistics Oriented Preprocessing of Document Image. Computing and Informatics, 34(2), 383–401. Retrieved from https://www.cai.sk/ojs/index.php/cai/article/view/1492
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