Text line segmentation of historical documents: a survey
International Journal on Document Analysis and Recognition
Using Mouse Feedback in Computer Assisted Transcription of Handwritten Text Images
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Balancing error and supervision effort in interactive-predictive handwriting recognition
Proceedings of the 15th international conference on Intelligent user interfaces
Multimodal interactive transcription of text images
Pattern Recognition
Interactive pattern recognition
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
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The amount of digitized legacy documents has been rising dramatically over the last years due mainly to the increasing number of on-line digital libraries publishing this kind of documents, waiting to be classified and finally transcribed into a textual electronic format (such as ASCII or PDF). Nevertheless, most of the available fully-automatic applications addressing this task are far from being perfect and heavy and inefficient human intervention is often required to check and correct the results of such systems. In contrast, multimodal interactive-predictive approaches may allow the users to participate in the process helping the system to improve the overall performance. With this in mind, two sets of recent advances are introduced in this work: a novel interactive method for text block detection and two multimodal interactive handwritten text transcription systems which use active learning and interactive-predictive technologies in the recognition process.