Contextual Word Spotting in Historical Handwritten Documents
نویسندگان
چکیده
منابع مشابه
Connected Component Based Word Spotting on Persian Handwritten image documents
Word spotting is to make searchable unindexed image documents by locating word/words in a doc-ument image, given a query word. This problem is challenging, mainly due to the large numberof word classes with very small inter-class and substantial intra-class distances. In this paper, asegmentation-based word spotting method is presented for multi-writer Persian handwritten doc-...
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The digitization of written human knowledge into string data has reached up to but not beyond the recognition of typeset text. This means that vast libraries of handwritten, cursive documents must be indexed and transcribed by a human—a prohibitively laborious task. This paper explores an existing technique developed in [1] and [12] for the offline indexation of historical handwritten documents...
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Word spotting is the process of retrieving all instances of a queried keyword from a digital library of document images. In this paper we evaluate the performance of different word descriptors to assess the advantages and disadvantages of statistical and structural models in a framework of query-by-example word spotting in historical documents. We compare four word representation models, namely...
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The implementation of word spotting is not an easy procedure and it gets even worse in the case of historical documents since it requires character recognition and indexing of the document images. A general technique for word spotting is presented, independent of OCR, using automatic representation of the text queries of the user by word images and comparing them with the word images extracted ...
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ژورنال
عنوان ژورنال: ELCVIA Electronic Letters on Computer Vision and Image Analysis
سال: 2015
ISSN: 1577-5097
DOI: 10.5565/rev/elcvia.741