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Proceedings Paper

Visual keyword-based word spotting in handwritten documents
Author(s): Aleksander Kolcz; Joshua Alspector; Marijke Augusteijn; Robert Carlson; Gheorghe Popescu
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Paper 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.

Paper Details

Date Published: 1 April 1998
PDF: 9 pages
Proc. SPIE 3305, Document Recognition V, (1 April 1998); doi: 10.1117/12.304639
Show Author Affiliations
Aleksander Kolcz, Univ. of Colorado/Colorado Springs (United States)
Joshua Alspector, Univ. of Colorado/Colorado Springs (United States)
Marijke Augusteijn, Univ. of Colorado/Colorado Springs (United States)
Robert Carlson, Univ. of Colorado/Colorado Springs (United States)
Gheorghe Popescu, Rutgers Univ. (Romania)


Published in SPIE Proceedings Vol. 3305:
Document Recognition V
Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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