Computer Assisted Transcription of Text Images and Multimodal Interaction
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Optimum algorithm to minimize human interactions in sequential Computer Assisted Pattern Recognition
Pattern Recognition Letters
Multimodal interactive transcription of text images
Pattern Recognition
A web-based demo to interactive multimodal transcription of historic text images
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
Study of different interactive editing operations in an assisted transcription system
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
On the optimal decision rule for sequential interactive structured prediction
Pattern Recognition Letters
Natural language inspired approach for handwritten text line detection in legacy documents
LaTeCH '12 Proceedings of the 6th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
Multilingual online access to digitised Arabic manuscripts by using metadata
International Journal of Metadata, Semantics and Ontologies
An iterative multimodal framework for the transcription of handwritten historical documents
Pattern Recognition Letters
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Paleography experts spend many hours transcribing ancient documents and state-of-the-art handwritten text recognition systems are not suitable for performing this task automatically. We propose here a new interactive, on-line framework which, rather than full automation, aims at assisting the experts in the proper recognition-transcription process; that is, facilitate and speed up the transcription of old documents. This framework combines the efficiency of automatic handwriting recognition systems with the accuracy of the experts, leading to a cost-effective perfect transcription of ancient manuscripts.