1. The document presents a system for recognizing handwritten Yoruba characters using a Bayesian classifier and decision tree approach. 2. Key stages of the system include preprocessing, segmentation, feature extraction, Bayesian classification, decision tree processing, and result fusion. 3. The system was tested on independent and non-independent character samples, achieving recognition rates of 91.18% and 94.44% respectively.