Visual Sensors and Machine Learning Techniques for Handwritten Text and Document Recognition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 30
Special Issue Editor
Special Issue Information
Dear Colleagues,
For this Special Issue, we invite submissions of high-quality, original research on the theory, application, and development of automated systems for the recognition and analysis of handwritten text and documents. This Special Issue seeks to explore the intersection of computer vision, pattern recognition, and machine learning to bridge the gap between theoretical advancements and practical applications to improve the accuracy, robustness, and scalability of handwritten text recognition (HTR) across diverse scenarios.
Topics of interest include, but are not limited to, the following:
- Novel visual sensor technologies for capturing handwritten text and documents, including advancements in lighting, camera characteristics, and multi-modal sensing.
- Advanced techniques for cost-effective training, such as data augmentation and synthesis.
- Machine learning algorithms for handwritten text recognition (HTR) and document image analysis (DIA), encompassing deep learning architectures, feature extraction techniques, and language models for character recognition, text segmentation, layout analysis, and writer identification.
- Pre-processing and post-processing methods for improving recognition accuracy, including noise reduction, segmentation, and error correction.
- Applications of HTR and DIA in various domains, such as historical document processing, legal document analysis, and form recognition.
- Evaluation methodologies for benchmarking HTR and DIA systems, including the development of new datasets and performance metrics.
Dr. Silvia Cascianelli
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- handwritten text recognition
- document image analysis
- document digitalization
- structured document recognition
