ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Adaptation from partially supervised handwritten text transcriptions
Proceedings of the 2009 international conference on Multimodal interfaces
Markov models for offline handwriting recognition: a survey
International Journal 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
Active learning strategies for handwritten text transcription
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
IEEE Transactions on Pattern Analysis and Machine Intelligence
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An effective approach to handwriting transcription of (old) documents is to follow a sequential, line-by-line transcription of the whole document, in which a continuously retrained system interacts with the user. In the case of multilingual documents, however, a minor yet important issue for this interactive approach is to first identify the language of the current text line image to be transcribed. In this paper, we propose a probabilistic framework and three techniques for this purpose. Empirical results are reported on an entire 764-page multilingual document for which previous empirical tests were limited to its first 180 pages, written only in Spanish.