Handwritten Arabic Optical Character Recognition Approach Based on Hybrid Whale Optimization Algorithm With Neighborhood Rough Set.
Ahmed Talat SahlolMohamed Abd El AzizMohammed Abdulaziz Aide Al-qanessSunghwan KimPublished in: IEEE Access (2020)
Keyphrases
- optimization algorithm
- optical character recognition
- rough sets
- character recognition
- character segmentation
- word spotting
- handwriting recognition
- hybrid optimization algorithm
- rough set theory
- multi objective
- ocr systems
- arabic documents
- printed documents
- machine vision
- printed text
- fuzzy sets
- handwritten documents
- document images
- text lines
- optimization method
- rough sets theory
- decision rules
- attribute reduction
- historical manuscripts
- differential evolution
- data mining
- fuzzy rough sets
- historical documents
- information entropy
- tool for data mining
- artificial bee colony
- scanned documents
- word recognition
- data analysis
- decision table
- fuzzy logic
- pattern recognition
- neural network
- continuous valued attributes
- incremental knowledge acquisition
- document image analysis
- character n grams
- bp neural network
- evolutionary algorithm
- image processing
- artificial intelligence