Mathematical Expression Detection in Scientific Document Images

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.

Autorentext

Bui Hai Phong graduated from the School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam, in 2010. He received the M.S. degree in information technology from the Hanoi University of Science and Technology, in 2012, where he obtained the Ph.D. degree in computer science in 2021.