Complex environment image recognition algorithm based on GANs and transfer learning
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Complex environment image recognition algorithm based on GANs and transfer learning Xin Du1 Received: 2 August 2018 / Accepted: 8 January 2019 Springer-Verlag London Ltd., part of Springer Nature 2019
Abstract With the rapid development of the global economy, people’s living standards have gradually improved, and the way of transportation has undergone earth-shaking changes. This has created a series of social and environmental issues while greatly facilitating people’s lives and work. Excessive numbers of cars have caused urban traffic problems such as traffic pollution, traffic jams and traffic accidents. The strong economic strength has made the automobile industry appear in a booming stage and made it enter the automobile society earlier. The license plate is a vehicle-passed ID card, so the detection and identification of the license plate has become one of the important research directions in today’s society. Although the resolution of today’s surveillance equipment is getting higher, there are still quite a few monitors with low resolution. Conventional license plate detection and recognition algorithms are challenged in low-resolution video processing. In this paper, we introduce the theory and methodology of GAN and transfer learning, which are applied to deal with the license plate image recognition under several complex environments. The experimental results show that the method adopted in this paper has higher recognition rate and robustness. Keywords Image recognition Transfer learning Neural network structure Feature extraction
1 Introduction According to the statistics of the Traffic Management Bureau of the Ministry of Public Security, as of the end of 2016, China’s motor vehicle ownership reached 290 million vehicles, including 194 million vehicles, second only to the USA, ranking second in the world. A large number of cars will accelerate the consumption of petroleum resources and the occupation of land resources, which has a bad impact on the environment. In order to alleviate the contradiction between economic development and environmental protection and restore the normal order of traffic roads, the concept of intelligent transportation system was proposed [1, 2]. The establishment of intelligent transportation system has enabled mankind to enter a new era of roads. It effectively circumvents conflicts between humans, vehicles and roads and greatly reduces social losses. & Xin Du [email protected] 1
School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
According to statistics, the annual investment in roads and the losses caused by road traffic accidents are uncountable, and the emergence of intelligent transportation systems has solved this problem. The importance of the intelligent transportation system to society is self-evident. The collection and processing of information is the core technology of the ITS system, and how to obtain the traffic data from the actual traffic conditions and proces
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