Handwritten digits recognition based on improved label propagation algorith

Handwritten digits recognition is a practical problem in pattern recognition applications, is of academic and commercial interest. It plays an import role in digit recognition and optical character recognition. In this research work, a new method based on label propagation algorithm for handwritten digits recognition is presented. An entropy based feature extraction is hired to evaluate the confidence coefficient for each training digit character. The confidence coefficient will feedback to label propagation algorithm. The label propagation algorithm will retrain again by the guide of feedback from confidence coefficient. According to the experiment results, an overall high recognition rate 98% and recall rate 98% are achieved on the test dataset. It is proved that the proposed handwritten digits recognition algorithm is simple but effective.