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Exploration on Text Detection Optimization Algorithm Based on Neural Network Technology

  • Junxia Liang,
  • Yongjun Qi

摘要

In this rapidly changing era of information technology, images have always been the main tool for human communication of information. In daily life, a large number of natural scene images, such as road signs, advertising slogans, etc., often contain important textual information, which is of great help to people’s understanding of image content. Text is a type of linguistic information that exists in various aspects of people’s lives. The textual information in it can help people understand, describe, and analyze natural scenes, and has important social value. Neural network technology is of great help for optimizing text detection. This paper discussed the optimization performance of neural network algorithm for text detection, and verified the progressiveness of the algorithm through experiments.