Improved Recognition Results of Medieval Handwritten Gurmukhi Manuscripts Using Boosting and Bagging Methodologies.
Munish KumarSimpel Rani JindalManish Kumar JindalGurpreet Singh LehalPublished in: Neural Process. Lett. (2019)
Keyphrases
- elastic matching
- ensemble methods
- ensemble learning
- handwritten documents
- character recognition
- handwriting recognition
- historical documents
- word recognition
- numeral strings
- handwritten characters
- base classifiers
- ensemble classification
- cultural heritage
- document analysis
- object recognition
- word spotting
- recognition rate
- randomized trees
- machine learning
- learning algorithm
- hand written
- gradient boosting
- majority voting
- random forests
- random forest
- historical manuscripts
- ensemble classifier
- document image analysis
- weak classifiers
- character segmentation
- decision trees
- prediction accuracy
- feature extraction
- handwritten words
- decision tree ensembles
- feature selection
- handwritten text
- variance reduction
- training set
- least squares
- decision stumps
- base learners
- weak learners