Chinese Fingerspelling Recognition via Hu Moment Invariant and RBF Support Vector Machine.
Ya GaoRan WangChen XueYalan GaoYifei QiaoChengchong JiaXianwei JiangPublished in: ICMTEL (2) (2020)
Keyphrases
- support vector machine
- radial basis function
- support vector machine svm
- support vector
- multi class
- rbf neural network
- svm classifier
- rbf network
- feature vectors
- generalization ability
- artificial neural networks
- rbf kernel
- feature space
- feature selection
- hidden layer
- machine learning
- multilayer perceptron
- moment invariants
- svm classification
- kernel function
- k nearest neighbor
- classification method
- training set
- neural network
- genetic algorithm
- high classification accuracy
- word segmentation
- invariant moments
- radial basis function network
- radial basis function neural network
- chinese text
- decision boundary
- multi layer perceptron
- text summarization
- kernel methods
- knn
- pattern recognition
- chinese characters
- support vector regression
- high dimensional
- learning algorithm