Visual Text Recognition and Understanding
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 October 2026 | Viewed by 123
Special Issue Editor
Special Issue Information
Dear Colleagues,
Visual text is a high-level special object, containing rich semantic information. Recognizing text from images or videos plays a significant role in the real world, such as the digitization of documents, the monitoring of specific information in cyberspace, traffic sign recognition, etc. Great progress has been made in recent years. Especially with the fast development of deep learning, more applications based on text recognition from the image and videos are realizable. The extension of visual text recognition from the simple text to the complex background and the complicated-shaped text is still full of challenges. Meanwhile, text-based image or video understanding (e.g., visual key information extraction, retrieval, visual question answering, image/video description) is becoming a hot topic, drawing great attention of scholars in the communities of computer vision, multimedia and document analysis. Although GPT-4 can achieve heart-stirring results for the understanding of images, it does not understand the image content based on visual text well. In addition, the studies for the robustness of text recognition in the adversarial environment and the forgery identification of visual text also become promising research.
This Special Issue is aimed at addressing issues of complicated text recognition and deeper understanding. This includes the following:
- Visual scene text detection and recognition;
- Handwriting recognition;
- Document classification;
- Recognition of tables and formulas;
- Document classification;
- Document representation modeling;
- Multimedia document understanding;
- Visual text generation;
- Text deepfake detection;
- Adversarial attack and defense for text recognition;
- Visual key text information extraction;
- Signature verification;
- Lightweight text recognition system;
- Historical document analysis;
- Mobile text recognition;
- Gold-standard benchmarks and datasets;
- Visual text survey and comprehensive study;
- Medical document understanding.
Dr. Pengwen Dai
Guest Editor
Manuscript Submission Information
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Keywords
- text recognition
- forgery text detection
- visual text generation
- visual text understanding
- adversarial attack and defense of visual text
- lightweight system
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