Performance Evaluation of Feed-Forward Neural Network Models for Handwritten Hindi Characters with Different Feature Extraction Methods.
Gunjan SinghSandeep KumarManu Pratap SinghPublished in: Int. J. Artif. Life Res. (2017)
Keyphrases
- feed forward
- neural network model
- optical character recognition
- artificial neural networks
- character segmentation
- neural network
- character recognition
- handwritten characters
- back propagation
- word spotting
- handwriting recognition
- neural nets
- handwritten text
- handwritten words
- recurrent neural networks
- writer independent
- neural models
- chinese characters
- text lines
- network architecture
- indian languages
- hidden layer
- machine vision
- license plate
- bp neural network
- multilayer perceptron
- hand written
- visual cortex
- word recognition
- feed forward neural networks
- document analysis
- activation function
- recurrent networks
- genetic algorithm
- document image analysis
- biologically plausible
- language identification
- hybrid model
- growing neural gas
- rbf neural network
- writer identification
- document images
- writing styles
- handwritten documents
- learning rules
- multi layer perceptron
- training algorithm
- forecasting accuracy
- artificial intelligence