A Hybrid Approach for Handwritten Arabic Character Recognition: Combining Self-Organizing Maps (SOMS) and Fuzzy Rules.
Abdel-Badeeh M. SalemMostafa M. SyiamMohamed K. HussienPublished in: ICEIS (2) (2003)
Keyphrases
- self organizing maps
- character recognition
- fuzzy rules
- handwriting recognition
- handwritten documents
- arabic handwriting recognition
- optical character recognition
- machine vision
- fuzzy systems
- fuzzy logic
- printed documents
- neural network
- fuzzy classifier
- rule base
- neuro fuzzy
- membership functions
- writer independent
- hand written
- fuzzy neural network
- fuzzy classification
- fuzzy sets
- handwritten characters
- character segmentation
- fuzzy model
- unsupervised learning
- document analysis
- fuzzy membership functions
- word recognition
- printed characters
- chinese characters
- k means
- fuzzy rule based systems
- vision system
- input data
- decision making
- recognition rate
- data mining
- real time
- data sets
- artificial intelligence
- license plate
- computer vision
- binary images
- artificial neural networks