Research on power text information system based on image detection and recognition under MVC framework

Abstract

The traditional research of power text information mostly uses manual input into the computer, and then uses machine learning or deep learning methods to further study the text. It can be seen that it needs to spend a lot of human resources to input the corresponding text information. In order to solve the above problems, the research of power text information system based on image detection and recognition under the MVC framework is proposed. First, the power text information is recognized using image detection technology, Convert to the form of digital matrix, and then extract the contextual semantic information in the digital matrix using the cyclic neural network. In addition, in order to further improve the effect of information extraction, the attention mechanism is introduced in semantic information extraction, which focuses on the words that have a great impact on the final result, so as to improve the effect, and then the MVC architecture is used to design and implement the final information recognition system, The experimental results show that the proposed power text information system based on image detection and recognition under the MVC framework can effectively improve the effect of text information research.