Ship license plate recognition method based on deep learning feature comparison

Abstract

The invention discloses a ship plate recognition method based on deep learning feature comparison, and the method employs a deep learning convolutional neural network technology to construct a ship plate detection model and a ship plate character recognition model, is fast in calculation speed and high in precision, and has very high robustness for a variety of illumination, backgrounds, environments, ship appearance changes and the like. Variability and diversity of Chinese characters in ship plate character recognition are fully considered; the number recognition and the Chinese character recognition of the ship plate characters are separately processed; a staged training method is adopted, wherein the method comprises the following steps: firstly, performing training on a ship license digital data set based on logistic loss and cense entropy loss; and carrying out training on the ship plate Chinese character data set based on the logistic loss and the triplet loss, so that the training efficiency and the convergence speed are ensured. In addition, based on triplet loss training, the situations of more types and uniform distribution of ship plate Chinese character data sets can be effectively handled, the inter-class difference is increased while the distance in the class is reduced, and the recognition effect is improved.

Description

technical field [0001] The invention relates to the field of intelligent recognition, in particular to a ship plate recognition method based on deep learning feature comparison. Background technique [0002] In recent years, with the increasingly prosperous development of the port economy, the scale and quantity of marine engineering and waterway engineering have continued to expand. At the same time, illegal construction, illegal sand mining, and illegal smuggling have also emerged. Due to the large area of ​​offshore operations, the wide construction area, the hidden behavior of ships, and the fact that AIS is often manually turned off to evade supervision, the traditional manual patrol law enforcement mode is poor in timeliness and high in danger, making it difficult to achieve effective supervision of ships. In order to strengthen the dimension and strength of management, a large number of high-definition surveillance cameras have been set up in areas such as ports and s...

AI Technical Summary

Problems solved by technology

[0006] In view of this, the purpose of the present invention is to overcome the defects in the prior art, and provide a ship plate recognition method based on deep learning feature comparison, which can avoid the disadvantages in the prior art. The current ship plate recognition technology has technical problems of low precision and poor practicability

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