Integrated Morphological Image Information Method for Complex Transformed Images

摘要

This paper presents new recognition method for handwritten Chinese characters. A number of integrated morphological image information based on complex transformed images and subareas is used to get good recognition rate. Similarity by morphological features are used for recognition. Complex images are obtained by the distance transform and the nonlinear normalization. Instead of selective use of complex image information and integrated image information, general similarity of each similarity based on complex images, subareas and integrated image information are used to get good recognition. General similarity is based on deviation value of each similarity. We obtained the best recognition rate 99.71percent for ETL-9 until now in the world.