TexT - Text Extractor Tool for Handwritten Document Transcription and Annotation
This addresses the challenge of efficiently transcribing and annotating historical manuscripts for archivists and researchers, though it appears incremental as it builds on existing word spotting techniques.
The paper tackles the problem of transcribing large-scale historical handwritten documents by introducing TexT, a semi-automatic framework that uses a word spotting system for on-the-fly transcription and annotation, resulting in a tool that provides quick and easy transcription with features like automatic ground truth generation and noise removal for visualization.
This paper presents a framework for semi-automatic transcription of large-scale historical handwritten documents and proposes a simple user-friendly text extractor tool, TexT for transcription. The proposed approach provides a quick and easy transcription of text using computer assisted interactive technique. The algorithm finds multiple occurrences of the marked text on-the-fly using a word spotting system. TexT is also capable of performing on-the-fly annotation of handwritten text with automatic generation of ground truth labels, and dynamic adjustment and correction of user generated bounding box annotations with the word being perfectly encapsulated. The user can view the document and the found words in the original form or with background noise removed for easier visualization of transcription results. The effectiveness of TexT is demonstrated on an archival manuscript collection from well-known publicly available dataset.