An Intelligent User Interface for Efficient Semi-automatic Transcription of Historical Handwritten Documents

Author:

Hast Anders1,Vats Ekta1

Affiliation:

1. Department of Information Technology, Uppsala University, Uppsala, Sweden

Funder

eSSENCE strategic collaboration on eScience

Publisher

ACM

Reference5 articles.

1. Transcribing handwritten text images with a word soup game

2. From game design elements to gamefulness

3. Anders Hast Per Cullhed and Ekta Vats. 2017. TexT - Text Extractor Tool for Handwritten Document Transcription and Annotation. In 14:th Italian Research Conference on Digital Libraries IRCDL. 1--12. Anders Hast Per Cullhed and Ekta Vats. 2017. TexT - Text Extractor Tool for Handwritten Document Transcription and Annotation. In 14:th Italian Research Conference on Digital Libraries IRCDL. 1--12.

4. A Segmentation-Free Handwritten Word Spotting Approach by Relaxed Feature Matching

5. Interactive layout analysis and transcription systems for historic handwritten documents

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