Evaluation of SVM, MLP and GMM Classifiers for Layout Analysis of Historical Documents.
Hao WeiMicheal BaechlerFouad SlimaneRolf IngoldPublished in: ICDAR (2013)
Keyphrases
- support vector
- historical documents
- highest accuracy
- svm classifier
- training data
- support vector machine svm
- multi layer perceptron
- classification algorithm
- feature selection
- training set
- neural classifier
- handwriting recognition
- support vector machine
- radial basis function
- gaussian mixture model
- feature vectors
- word recognition
- artificial neural networks
- neural network
- machine learning
- back propagation
- vision system
- multilayer perceptron
- text categorization
- multi class
- hidden markov models
- feature space