Recognition of Handwritten Japanese Characters Using Ensemble of Convolutional Neural Networks.
Angel I. SolisJustin ZarkovackiJohn LyAdham AtyabiPublished in: CoRR (2023)
Keyphrases
- convolutional neural networks
- handwritten characters
- character recognition
- character segmentation
- chinese characters
- handwritten words
- hand written
- handwritten text
- printed characters
- handwritten chinese
- convolutional network
- handwriting recognition
- word recognition
- optical character recognition
- automatic recognition
- writer independent
- license plate
- neural network
- numeral strings
- recognition rate
- document analysis
- text lines
- machine vision
- handwritten word recognition
- pattern recognition
- object recognition
- writing styles
- ensemble methods
- word spotting
- handwritten digits
- feature extraction
- ensemble learning
- random forest
- hidden markov models
- printed documents
- recognition accuracy
- training set
- multiresolution
- gray scale images
- recognition process
- learning algorithm