Visual keyword-based word spotting in handwritten documents

Aleksander Kolcz; Joshua Alspector; Marijke Augusteijn; Robert Carlson; Gheorghe Popescu

doi:10.1117/12.304639

1 April 1998 Visual keyword-based word spotting in handwritten documents

Aleksander Kolcz, Joshua Alspector, Marijke Augusteijn, Robert Carlson, Gheorghe Popescu

Proceedings Volume 3305, Document Recognition V; (1998) https://doi.org/10.1117/12.304639
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

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.

Citation Download Citation

Aleksander Kolcz, Joshua Alspector, Marijke Augusteijn, Robert Carlson, and Gheorghe Popescu "Visual keyword-based word spotting in handwritten documents", Proc. SPIE 3305, Document Recognition V, (1 April 1998); https://doi.org/10.1117/12.304639

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KEYWORDS

Visualization

Computer programming

Data archive systems

Distance measurement

Image segmentation

Target detection

Binary data

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