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Proceedings Paper

Slant rectification in Russian passport OCR system using fast Hough transform
Author(s): Elena Limonova; Pavel Bezmaternykh; Dmitry Nikolaev; Vladimir Arlazarov
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Paper Abstract

In this paper, we introduce slant detection method based on Fast Hough Transform calculation and demonstrate its application in industrial system for Russian passports recognition. About 1.5% of this kind of documents appear to be slant or italic. This fact reduces recognition rate, because Optical Recognition Systems are normally designed to process normal fonts. Our method uses Fast Hough Transform to analyse vertical strokes of characters extracted with the help of x-derivative of a text line image. To improve the quality of detector we also introduce field grouping rules. The resulting algorithm allowed to reach high detection quality. Almost all errors of considered approach happen on passports of nonstandard fonts, while slant detector works in appropriate way.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410P (17 March 2017); doi: 10.1117/12.2268725
Show Author Affiliations
Elena Limonova, Moscow Institute of Physics and Technology (Russian Federation)
Institute for Information Transmission Problems (Russian Federation)
Pavel Bezmaternykh, Smart Engines Rus Ltd (Russian Federation)
Dmitry Nikolaev, Institute for Information Transmission Problems (Russian Federation)
Vladimir Arlazarov, Moscow Institute of Physics and Technology (Russian Federation)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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