Analysis of Children's Literature Works based on Intelligent Image text Recognition

Abstract

In order to improve the analysis effect of children's literary works, this paper builds an analysis system of children's literary works based on intelligent image text recognition technology. Moreover, this paper proposes a retrieval method with rotation, scale, and displacement invariance. For more abstract hand-drawn sketches, this paper proposes to use classification to identify the categories of sketches and to assist the retrieval process based on the similarity information of the tags.In order to improve the demand for the analysis of literary works, this paper uses images as the identification object to construct a system framework and process.In addition, in order to avoid the impact of speed on the accuracy of corner recognition, this paper performs isometric resampling of strokes in the preprocessing stage, and introduces an image structure feature recognition system.Finally, this paper designs experiments to test the system. From the test results, it can be seen that the system basically meets the analysis needs of children's literature and can be applied to practice.