Slant rectification in Russian passport OCR system using fast Hough transform

Elena Limonova; Pavel Bezmaternykh; Dmitry Nikolaev; Vladimir Arlazarov

doi:10.1117/12.2268725

17 March 2017 Slant rectification in Russian passport OCR system using fast Hough transform

Elena Limonova, Pavel Bezmaternykh, Dmitry Nikolaev, Vladimir Arlazarov

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103410P (2017) https://doi.org/10.1117/12.2268725
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

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.

Citation Download Citation

Elena Limonova, Pavel Bezmaternykh, Dmitry Nikolaev, and Vladimir Arlazarov "Slant rectification in Russian passport OCR system using fast Hough transform", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410P (17 March 2017); https://doi.org/10.1117/12.2268725

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