A Combinatorial Solution to Point Symbol Recognition
1
The School of Computer and Technology, Xidian University, Xi’an 710071, China
2
Xi’an Key Laboratory of Big Data and Intelligent Vision, Xi’an 710071, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(10), 3403; https://doi.org/10.3390/s18103403
Received: 28 July 2018
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Revised: 6 September 2018
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Accepted: 25 September 2018
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Published: 11 October 2018
(This article belongs to the Special Issue Emerging Algorithms and Applications in Vision Sensors System based on Artificial Intelligence)
Recent work has shown that recognizing point symbols is an essential task in the field of map digitization. For the identification of symbols, it is generally necessary to compare the symbols with a specific criterion and find the most similar one with each known symbol one by one. Most of the works can only identify a single symbol, a small number of works are to deal with multiple symbols simultaneously with a low recognition accuracy. Given the two deficiencies, this paper proposes a deep transfer learning architecture, where the task is to learn a symbol classifier with AlexNet. For the insufficient dataset, we develop a method for transfer learning that uses a MNIST dataset to pretrain the model, which makes up for the problem of small training dataset and enhances the generalization of the model. Before the recognition process, preprocessing the point symbols in the map to coarse screening out the areas suspected of point symbols. We show a significant improvement over using point symbol images to keep a high performance in being able to deal with many more categories of symbols simultaneously.
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MDPI and ACS Style
Quan, Y.; Shi, Y.; Miao, Q.; Qi, Y. A Combinatorial Solution to Point Symbol Recognition. Sensors 2018, 18, 3403. https://doi.org/10.3390/s18103403
AMA Style
Quan Y, Shi Y, Miao Q, Qi Y. A Combinatorial Solution to Point Symbol Recognition. Sensors. 2018; 18(10):3403. https://doi.org/10.3390/s18103403
Chicago/Turabian StyleQuan, Yining, Yuanyuan Shi, Qiguang Miao, and Yutao Qi. 2018. "A Combinatorial Solution to Point Symbol Recognition" Sensors 18, no. 10: 3403. https://doi.org/10.3390/s18103403
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