Computer algorithms for recognizing the distinct parts of handprinted characters

The authors studied several computer algorithms by evaluating the recognition rates on distinct parts of handprinted characters. A regional decomposition method is to facilitate pattern analysis and recognition, by which a complicated pattern can be split into simpler parts or subpatterns. A hierarchy model is also proposed to identify the attributes in different hierarchic levels of patterns so that the recognition rates of the different parts can be calculated by a simplified, uniform, computational scheme. The computed results coincide with those of subjective experiments, but they are more precise and complete. The total mean score of recognition rates of parts obtained from the proposed algorithms was 30% higher than that from human experiments