Research on Handwritten Digits Recognition
Liu Hui-chun · 2003
This paper describes and analyzes the feathers used in handwritten digits recognition, including template match, statistical feathers, structural feathers and transformation feathers. Distance-based classifiers and neural network classifiers are also presented. It also proposes hybrid approach in combining different feathers and different classifiers. The new machine learning method——support vector Machine is introduced in the end.