A comparative study of different feature sets for recognition of handwritten Arabic numerals using a Multi Layer Perceptron
Nibaran DasAyatullah Faruk MollahRam SarkarSubhadip BasuPublished in: CoRR (2010)
Keyphrases
- feature set
- handwritten characters
- character recognition
- handwritten documents
- handwriting recognition
- handwritten words
- feature extraction
- handwritten numerals
- numeral strings
- feature selection
- classification accuracy
- recognition rate
- feature vectors
- word recognition
- feature space
- recognition accuracy
- classification models
- optical character recognition
- writer independent
- word spotting
- printed documents
- document analysis
- feature types
- machine vision
- document image analysis
- multiple features
- structural features
- object recognition
- audio features
- handwritten text recognition
- writer identification
- pattern recognition
- handwritten text
- cepstral coefficients
- data mining
- feature selections
- extracted features
- speech recognition
- text categorization
- face recognition
- high level
- learning algorithm