Intelligent English Recognition System Based on Computer Image Algorithm

With the acceleration of the global informatization process, improving the efficiency of information processing has become a top priority. The development of science and technology has made the information processing methods advance by leaps and bounds, and the trend of “electronic information” attracts the participation of all walks of life. This paper aims to study the intelligent English recognition system based on computer image algorithm. This paper firstly gives a brief overview of the current situation and development of intelligent English recognition technology. In view of the current demand for accurate and fast English recognition on the market, the system can automatically distinguish and recognize input images and extract image information. This paper first describes the proposed system from three parts: image preprocessing, document image retrieval, preliminary analysis, and information extraction. In this case, angle detection is faster and can recognize English words more accurately. Experiments show that the combined feature extraction algorithm in this paper has an effective extraction accuracy rate of 80% or a lie, and the optimal learning initial rate is 0.01.