1 April 1998 Visual keyword-based word spotting in handwritten documents
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Abstract
The problem of word spotting in handwritten documents is addressed as a form of visual keyword search. In the particular approach taken, explicit references to the lexical structure of handwritten data are avoided, which makes it useful for developing applications where the information to be retrieved is not limited to handwriting and may consist of other visual objects, such as hand drawings. The line-oriented structure of handwritten documents is utilized to facilitate the search. In particular, sequential processing methods based on dynamic programming techniques are used during recognition to take advantage of the implicit time information and improve spotting performance. Feature profiles based on the ink- background transition representation of binary images are used to facilitate the sequential data obtained from the Archives of the Indies. Encouraging results of 90 percent target word detection at the cost of one false alarm are reported.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aleksander Kolcz, Aleksander Kolcz, Joshua Alspector, Joshua Alspector, Marijke Augusteijn, Marijke Augusteijn, Robert Carlson, Robert Carlson, Gheorghe Popescu, Gheorghe Popescu, } "Visual keyword-based word spotting in handwritten documents", Proc. SPIE 3305, Document Recognition V, (1 April 1998); doi: 10.1117/12.304639; https://doi.org/10.1117/12.304639
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