An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features.
Kaizhu HuangJun SunYoshinobu HottaKatsuhito FujimotoSatoshi NaoiPublished in: ICDAR (2007)
Keyphrases
- handwritten numerals
- recognition rate
- multiple classifiers
- handwritten numeral recognition
- feature extraction
- feature set
- object recognition
- pattern recognition
- feature vectors
- active learning
- co occurrence
- data fusion
- support vector
- training data
- support vector machine
- data streams
- support vector machine svm
- benchmark datasets
- svm classifier
- classification models