Particle Swarm Optimization with Random Forests for Handwritten Arabic Recognition System.
Ahmed Talat SahlolMohamed Abd ElfattahChing Y. SuenAboul Ella HassanienPublished in: AISI (2016)
Keyphrases
- random forests
- particle swarm optimization
- handwritten words
- writer independent
- handwritten documents
- handwriting recognition
- random forest
- character recognition
- decision trees
- word recognition
- logistic regression
- arabic documents
- multi objective
- machine learning algorithms
- ensemble methods
- word spotting
- differential evolution
- tree ensembles
- genetic algorithm
- writer identification
- regression forests
- decision tree ensembles
- word segmentation
- randomized trees
- depth images
- optical character recognition
- feature selection
- prediction accuracy
- image classification
- information extraction
- active learning
- support vector
- feature extraction
- data sets