Geodesic
Training data synthesis in text recognition problem solved in three-dimensional space
Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2014), pp. 82-88.

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This paper is considered training data formation for machine learning methods in the context of text recognition problem. Initial data is a set of images containing documents with Machine Readable Zone (MRZ) shown a camera in some orientation. Relative positions of the camera and the document, light and camera models may vary within wide limits.
Keywords: mono-font text recognition, synthesis of training data, neural networks. 
@article{ITVS_2014_3_a7,
     author = {D. P. Nikolaev and D. V. Polevoy and N. A. Tarasova},
     title = {Training data synthesis in text recognition problem solved in three-dimensional space},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {82--88},
     publisher = {mathdoc},
     number = {3},
     year = {2014},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2014_3_a7/}
}
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D. P. Nikolaev; D. V. Polevoy; N. A. Tarasova. Training data synthesis in text recognition problem solved in three-dimensional space. Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2014), pp. 82-88. http://geodesic.mathdoc.fr/item/ITVS_2014_3_a7/