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Textual blocks rectification method based on fast Hough transform analysis in identity documents recognition
Author(s): P. V. Bezmaternykh; D. P. Nikolaev; V. L. Arlazarov
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Paper 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.

Paper Details

Date Published: 13 April 2018
PDF: 6 pages
Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 1069606 (13 April 2018); doi: 10.1117/12.2310162
Show Author Affiliations
P. V. Bezmaternykh, Smart Engines (Russian Federation)
D. P. Nikolaev, Institute for Information Transmission Problems (Russian Federation)
V. L. Arlazarov, Federal Research Ctr. “Computer Science and Control” (Russian Federation)


Published in SPIE Proceedings Vol. 10696:
Tenth International Conference on Machine Vision (ICMV 2017)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev; Jianhong Zhou, Editor(s)

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