Histogram Clustering and Hybrid Classifier for Handwritten Arabic Characters Recognition.
Mustafa SyiamT. M. NazmyAlaa Eldin FahmyH. FathiK. AliPublished in: SPPRA (2006)
Keyphrases
- character recognition
- handwritten characters
- numeral strings
- recognition rate
- clustering algorithm
- unsupervised learning
- clustering method
- handwriting recognition
- word recognition
- high recognition rate
- document analysis
- online handwriting
- mixed data
- document image analysis
- clustering procedure
- hand written
- learning stage
- word spotting
- feature selection
- hierarchical clustering
- object recognition
- decision trees
- recognition accuracy
- self organizing maps
- feature extractor
- character segmentation
- training data
- pattern recognition
- feature space
- k means
- shape recognition
- recognition algorithm
- feature set
- feature extraction
- handwritten text
- automatic recognition
- improve the recognition accuracy
- handwritten documents
- semi supervised
- gray level
- historical documents
- writer independent
- data sets