A Hybrid Structural/Statistical Classifier for Handwritten Farsi/Arabic Numeral Recognition.
Saeed MozaffariKarim FaezMajid ZiaratbanPublished in: MVA (2005)
Keyphrases
- handwriting recognition
- handwritten documents
- word spotting
- character recognition
- handwritten words
- handwritten numerals
- handwritten characters
- numeral strings
- word recognition
- recognition rate
- arabic handwriting recognition
- online handwriting
- hand written
- multiple classifiers
- handwritten text
- document analysis
- arabic documents
- writer independent
- printed documents
- handwritten text recognition
- character segmentation
- recognition accuracy
- training set
- structural information
- document image analysis
- handwritten word recognition
- high recognition rate
- pattern recognition
- object recognition
- training data
- feature selection
- feature extraction
- learning algorithm
- binary images
- optical character recognition
- document images
- machine vision
- support vector machine
- structural analysis
- improve the recognition accuracy
- historical documents
- automatic recognition
- decision trees
- classification algorithm
- feature extractor
- writer identification
- printed text
- recognition process
- face recognition
- classifier ensemble
- action recognition