A cascaded method for transmission tower number recognition  in large scenes

Yuanchun Xia; Guoyou Wang; Ran Wang; Feng Zhou

doi:10.1117/12.2539402

14 February 2020 A cascaded method for transmission tower number recognition in large scenes

Yuanchun Xia, Guoyou Wang, Ran Wang, Feng Zhou

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 114301D (2020) https://doi.org/10.1117/12.2539402
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

Recognizing the transmission tower numbers is an import part of the automatic inspection of high-voltage transmission lines. However, it's infeasible to accomplish this task effectively in one step giving the large scene images shot by unmanned aerial vehicles. In this paper, we present a cascaded framework consists of two CNN components: number plate detection and serial number recognition. The proposed method reduces the difficulty of localizing number characters in large scenes by leveraging the robust background, number plates. On the one hand, the proposed cascaded coarse-to-fine method reduces the missing rate and improves the detection accuracy, on the other hand, the recognition complexity is greatly reduced. The experimental results on our collected dataset demonstrate the effectiveness of the proposed method.

Citation Download Citation

Yuanchun Xia, Guoyou Wang, Ran Wang, and Feng Zhou "A cascaded method for transmission tower number recognition in large scenes", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114301D (14 February 2020); https://doi.org/10.1117/12.2539402

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