Mathematical Expression Detection in Scientific Document Images. Using Machine Learning Approaches

      Аннотация: Mathematical expressions (MEs) play an important role in scientific documents and a huge number of scientific documents have been produced over years. Therefore, the demand of document digitization for researching and studying purposes has continuously increased. Detection and recognition of MEs in documents are considered as essential steps for document digitization. The detection of expressions aims to locate the position of expressions within documents. Meanwhile, the recognition of MEs aims at converting expressions from image format to string. In the book, the novel machine learning approaches for the detection of MEs in scientific document images are proposed and analyzed.

Ключевые слова: Mathematical expression detection, Deep Learning, image processing, Machine Learning, Pattern recognition