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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Combination of Three Classifiers with Different Architectures for Handwritten Word Recognition
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
| ASCII Text | x | ||
| Simon Günter, Horst Bunke, "Combination of Three Classifiers with Different Architectures for Handwritten Word Recognition," Ninth International Workshop on Frontiers in Handwriting Recognition, pp. 63-68, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004. | |||
| BibTex | x | ||
| @article{ 10.1109/IWFHR.2004.28, author = {Simon Günter and Horst Bunke}, title = {Combination of Three Classifiers with Different Architectures for Handwritten Word Recognition}, journal ={Ninth International Workshop on Frontiers in Handwriting Recognition}, volume = {0}, year = {2004}, issn = {1550-5235}, pages = {63-68}, doi = {http://doi.ieeecomputersociety.org/10.1109/IWFHR.2004.28}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Ninth International Workshop on Frontiers in Handwriting Recognition TI - Combination of Three Classifiers with Different Architectures for Handwritten Word Recognition SN - 1550-5235 SP63 EP68 A1 - Simon Günter, A1 - Horst Bunke, PY - 2004 KW - handwritten word recognition KW - classifier combination KW - ensemble method VL - 0 JA - Ninth International Workshop on Frontiers in Handwriting Recognition ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IWFHR.2004.28
The study of multiple classifier systems has become an area of intensive research in pattern recognition recently. Also in handwriting recognition, systems combining several classifiers have been investigated. In this paper the combination of three classifiers for handwritten word recognition with different architectures is studied. In addition a new ensemble method working with several base classifiers is applied and the results of the ensemble method are compared to the results of the combination of the three classifiers. In the experiments a large scale handwritten word recognition task is considered.
Index Terms:
handwritten word recognition, classifier combination, ensemble method
Citation:
Simon Günter, Horst Bunke, "Combination of Three Classifiers with Different Architectures for Handwritten Word Recognition," iwfhr, pp.63-68, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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