Noise-Robust Wagon Text Extraction Based on Defect-Restore Generative Adversarial Network

Noise-Robust Wagon Text Extraction Based on Defect-Restore Generative Adversarial Network

Wagon text extraction mainly depends on manual identification of relevant information, which is laborious, time consuming, monotonous and error-prone. To address this concern, we develop a two-stage wagon text extraction system based on the combination of transfer learning and defect-restore generat...

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Bibliographic Details
Main Authors: Meng Lei, Yi Zhou, Li Zhou, Jiannan Zheng, Ming Li, Liang Zou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Intelligent transportation
wagon text extraction
generative adversarial network
text recognition
artificial intelligence
Online Access:https://ieeexplore.ieee.org/document/8906007/

Internet

https://ieeexplore.ieee.org/document/8906007/

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