Optimization of Weights in a Multiple Classifier Handwritten Word Recognition System Using a Genetic Algorithm
Automatic handwritten text recognition by computer has a number of interesting applications. However, due to a great variety of individual writing styles, the problem is very difficult and far from being solved. Recently, a number of classifier creation methods, known as ensemble methods, have been...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Computer Vision Center Press
2004-01-01
|
| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| Subjects: | |
| Online Access: | https://elcvia.cvc.uab.es/article/view/67 |
| _version_ | 1819123375806611456 |
|---|---|
| author | Simon Guenter Horst Bunke |
| author_facet | Simon Guenter Horst Bunke |
| author_sort | Simon Guenter |
| collection | DOAJ |
| description | Automatic handwritten text recognition by computer has a number of interesting applications. However, due to a great variety of individual writing styles, the problem is very difficult and far from being solved. Recently, a number of classifier creation methods, known as ensemble methods, have been proposed in the field of machine learning. They have shown improved recognition performance over single classifiers. For the combination of these classifiers many methods have been proposed in the literature. In this paper we describe a weighted voting scheme where the weights are obtained by a genetic algorithm. |
| first_indexed | 2024-12-22T07:07:21Z |
| format | Article |
| id | doaj.art-ba35b47317f04a2abc541a6daa3d0a55 |
| institution | Directory Open Access Journal |
| issn | 1577-5097 |
| language | English |
| last_indexed | 2024-12-22T07:07:21Z |
| publishDate | 2004-01-01 |
| publisher | Computer Vision Center Press |
| record_format | Article |
| series | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| spelling | doaj.art-ba35b47317f04a2abc541a6daa3d0a552022-12-21T18:34:38ZengComputer Vision Center PressELCVIA Electronic Letters on Computer Vision and Image Analysis1577-50972004-01-013110.5565/rev/elcvia.6739Optimization of Weights in a Multiple Classifier Handwritten Word Recognition System Using a Genetic AlgorithmSimon GuenterHorst BunkeAutomatic handwritten text recognition by computer has a number of interesting applications. However, due to a great variety of individual writing styles, the problem is very difficult and far from being solved. Recently, a number of classifier creation methods, known as ensemble methods, have been proposed in the field of machine learning. They have shown improved recognition performance over single classifiers. For the combination of these classifiers many methods have been proposed in the literature. In this paper we describe a weighted voting scheme where the weights are obtained by a genetic algorithm.https://elcvia.cvc.uab.es/article/view/67handwritten text recognitionclassifier combinationgenetic algorithm |
| spellingShingle | Simon Guenter Horst Bunke Optimization of Weights in a Multiple Classifier Handwritten Word Recognition System Using a Genetic Algorithm ELCVIA Electronic Letters on Computer Vision and Image Analysis handwritten text recognition classifier combination genetic algorithm |
| title | Optimization of Weights in a Multiple Classifier Handwritten Word Recognition System Using a Genetic Algorithm |
| title_full | Optimization of Weights in a Multiple Classifier Handwritten Word Recognition System Using a Genetic Algorithm |
| title_fullStr | Optimization of Weights in a Multiple Classifier Handwritten Word Recognition System Using a Genetic Algorithm |
| title_full_unstemmed | Optimization of Weights in a Multiple Classifier Handwritten Word Recognition System Using a Genetic Algorithm |
| title_short | Optimization of Weights in a Multiple Classifier Handwritten Word Recognition System Using a Genetic Algorithm |
| title_sort | optimization of weights in a multiple classifier handwritten word recognition system using a genetic algorithm |
| topic | handwritten text recognition classifier combination genetic algorithm |
| url | https://elcvia.cvc.uab.es/article/view/67 |
| work_keys_str_mv | AT simonguenter optimizationofweightsinamultipleclassifierhandwrittenwordrecognitionsystemusingageneticalgorithm AT horstbunke optimizationofweightsinamultipleclassifierhandwrittenwordrecognitionsystemusingageneticalgorithm |