Research on the number recognition based on athlete number plate image

doi:10.3969/j.issn.1000-5641.2017.03.007

Abstract

Abstract: A lot of images are usually photographed in the sports of track and field, and manual operation is a general method to retrieve image containing certain athletes. In order to quickly retrieve images containing a particular player, a method based on the number to identify a player is proposed. It firstly applied DPM (Deformable Part Model) algorithm to narrow the search scope of number plate. Secondly, according to the prior knowledge, the position of number plate can be located by considering two different ways to ensure the reliability. Thirdly, the characters of number plate are segmented by connected component analysis method. Finally, feature-based BP (Back Propagation) neural network is adopted to recognize the number plate. Experimental results show that the proposed method is efficient to identify the number plate of the players. The number plate recognition method provides a guideline of retrieving a specific player's images.

Key words: track and field sports, character segmentation, back propagation neural network, character recognition

CLC Number:

TP391

ZHAO Li-ke, ZHENG Shun-yi, MA Hao, WANG Xiao-nan, WEI Hai-tao. Research on the number recognition based on athlete number plate image[J]. Journal of East China Normal University(Natural Sc, 2017, (3): 64-77,86.

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