2011 | OriginalPaper | Buchkapitel
Language Identification for Interactive Handwriting Transcription of Multilingual Documents
verfasst von : Miguel A. del Agua, Nicolás Serrano, Alfons Juan
Erschienen in: Pattern Recognition and Image Analysis
Verlag: Springer Berlin Heidelberg
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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.