International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 102 - Issue 3 |
Published: September 2014 |
Authors: Jan-Hendrik Worch, Bjoern Gottfried |
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Jan-Hendrik Worch, Bjoern Gottfried . Choosing Shape Features by means of Genetic Algorithms for Gylph-clustering of Historical Documents. International Journal of Computer Applications. 102, 3 (September 2014), 1-6. DOI=10.5120/17792-8585
@article{ 10.5120/17792-8585, author = { Jan-Hendrik Worch,Bjoern Gottfried }, title = { Choosing Shape Features by means of Genetic Algorithms for Gylph-clustering of Historical Documents }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 102 }, number = { 3 }, pages = { 1-6 }, doi = { 10.5120/17792-8585 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Jan-Hendrik Worch %A Bjoern Gottfried %T Choosing Shape Features by means of Genetic Algorithms for Gylph-clustering of Historical Documents%T %J International Journal of Computer Applications %V 102 %N 3 %P 1-6 %R 10.5120/17792-8585 %I Foundation of Computer Science (FCS), NY, USA
The solution for a feature selection problem is presented in the field of document image processing. The choice of shape features for describing glyphs of historical documents is a non-trivial task since the variations of glyphs in different documents is innumerable. Hence, the manual selection of shape features would be a cumbersome task. To select a subset of features from a given set a genetic algorithm is used which optimises the result of a clustering process by x-means. The result of x-means is evaluated by using different quality measures. The optimisation methodology is illustrated within a case study, in which the selection of an appropriate set of features is a crucial part of the system. The intended application supports a user who is transcribing historical documents by showing him similar occurrences of a given glyph.