IRCS: A text information recording and reproducing system for interested texts from the first-person reading perspective based on hand-text interaction
Year: 2026
Type: conference-paper
Abstract: Acquiring information and understanding knowledge are two important purposes of reading. Both physical books and digital books have their own advantages in these two aspects. This paper proposes a New Intelligent Reading Companion System (IRCS) by integrating the advantages of physical books and digital books. The system can intelligent record and reproduce the reader’s interested contents by hand-text interaction. A dense-text recognize method based on Word length-aware text spotting is purposed to improve the recognize accuracy of the dense-text. The system uses a cloud-based deep learning framework that enables the mobile users to begin reading and recording at any time and anywhere. The functionality and usability of the system were tested by a user study, the study results demonstrate that the IRCS brings faster information acquisition and better knowledge understanding and better reading experience to readers.
Authors: Li Peng, Huabing Zhou, Hao Wang, Qianyu Yi
Institutions: Hubei Open University, Wuhan Institute of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204274863