A Pattern Recognition Method for Scene Sketch Images Using Deep Learning and Its Evaluation

Abstract

Many studies on handwritten figure recognition have been published so far. For handwritten graphics in the fields of science and engineering, relatively clear drawing rules are defined, such as the symbols of the constituent elements being predetermined. On the other hand, there is no particular drawing rule for sketches such as landscape paintings, which makes it difficult to design a feature extractor. Against this background, in recent years, research on recognition models using deep learning from sketch images such as landscape paintings has been reported. However, the recognition rate of all the research results is about 70% or less. Therefore, in this paper, we proposed a new CNN model for recognizing landscape sketch images, and verified its effectiveness by computer experiments. Since there is no benchmark data for landscape sketch images, it cannot be compared with the results of previous studies, but the recognition rate of the CNN model proposed in the text is about 80%, which is higher than that of previous studies.