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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Research of Ticket Detection and Correction Algorithm Based on Regional Segmentation

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DOI: 10.25236/iccse.18.005

Author(s)

Haicheng Wei, Mingxia Xiao, Yajie Xu,Na Ta

Corresponding Author

Mingxia Xiao

Abstract

In order to solve the problem of low speed and accuracy during the ticket image information recognition, which is due to uncertain direction of ticket image, a new algorithm based on region segmentation was proposed to detect and correct the ticket image direction in this paper. In the algorithm, based on the analysis of ticket image, divide the ticket image split into subregions and demarcate it, combine with the histogram statistics of the calibrated region, then find out the difference of eigenvalues between different calibrated regions, determine the direction of the calibrated region, and judge the direction of the ticket image. On this basis, the image geometric transformation is used to correct the direction of the ticket image. The experimental results show that the correct rectification rate of the algorithm is 98.02%, and the algorithm is simple and easy to hardware implementation. It can improve the efficiency of the ticket recognition algorithm.

Keywords

Train Ticket Images, Region Segmentation Algorithm, Histogram Statistics, Direction Detection and Correction Algorithm