Handwritten Character Recognition Using Multiclass SVM Classification with Hybrid Feature Extraction

The proposed hybrid feature extraction technique is a hybrid of structural, statistical and correlation features that results in a 157-variable feature vector for each character, which is adequate enough to uniquely represent and identify each character.