$$\textit{TexT}$$ TexT - Text Extractor Tool for Handwritten Document Transcription and Annotation

Abstract

This paper presents a framework for semi-automatic transcription of large-scale historical handwritten documents and proposes a simple user-friendly text extractor tool, T exT 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. T exT 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 T exT is demonstrated on an archival manuscript collection from well-known publicly available dataset.

Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection

“…Some information is digitized, and more and more are being actively digitized. A large part of the digitized materials consist of handwritten documents, and although handwritten text recognition is an active research topic with improving results, the effort required to transform digitized hand-written material to text or data has been an important factor limiting the availability of cultural heritage data [78].…”