Recognizing text in historical maps using maps from multiple time periods

Abstract

Recognizing text in historical maps is inherently difficult due to input challenges such as artifacts interfering with the text or an unpredictable rotation and orientation of the text. This paper discusses our algorithm that overcomes the limitations of the input by adding extra input consisting of multiple layers of images of the same map area but across… (More)
DOI: 10.1109/ICPR.2016.7900258

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Cite this paper

@article{Yu2016RecognizingTI, title={Recognizing text in historical maps using maps from multiple time periods}, author={Ronald Yu and Zexuan Luo and Yao-Yi Chiang}, journal={2016 23rd International Conference on Pattern Recognition (ICPR)}, year={2016}, pages={3993-3998} }