A document skew detection method using fast Hough transform

P. V. Bezmaternykh; D. P. Nikolaev

doi:10.1117/12.2559069

31 January 2020 A document skew detection method using fast Hough transform

P. V. Bezmaternykh, D. P. Nikolaev

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114330J (2020) https://doi.org/10.1117/12.2559069
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

The majority of document image analysis systems use a document skew detection algorithm to simplify all its further processing stages. A huge amount of such algorithms based on Hough transform (HT) analysis has already been proposed. Despite this, we managed to find only one work where the Fast Hough Transform (FHT) usage was suggested to solve the indicated problem. Unfortunately, no study of that method was provided. In this work, we propose and study a skew detection algorithm for the document images which relies on FHT analysis. To measure this algorithm quality we use the dataset from the problem oriented DISEC‘13 contest and its evaluation methodology. Obtained values for AED, T OP80, and CE criteria are equal to 0.086, 0.056, 68.80 respectively.

Citation Download Citation

P. V. Bezmaternykh and D. P. Nikolaev "A document skew detection method using fast Hough transform", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114330J (31 January 2020); https://doi.org/10.1117/12.2559069

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