Paper
13 April 2018 Textual blocks rectification method based on fast Hough transform analysis in identity documents recognition
P. V. Bezmaternykh, D. P. Nikolaev, V. L. Arlazarov
Author Affiliations +
Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 1069606 (2018) https://doi.org/10.1117/12.2310162
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria
Abstract
Textual blocks rectification or slant correction is an important stage of document image processing in OCR systems. This paper considers existing methods and introduces an approach for the construction of such algorithms based on Fast Hough Transform analysis. A quality measurement technique is proposed and obtained results are shown for both printed and handwritten textual blocks processing as a part of an industrial system of identity documents recognition on mobile devices.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
P. V. Bezmaternykh, D. P. Nikolaev, and V. L. Arlazarov "Textual blocks rectification method based on fast Hough transform analysis in identity documents recognition", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 1069606 (13 April 2018); https://doi.org/10.1117/12.2310162
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Cited by 3 scholarly publications.
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KEYWORDS
Hough transforms

Image processing

Algorithm development

Cameras

Mobile devices

Detection and tracking algorithms

Optical character recognition

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