Recognition of Persian handwritten digits using Characterization Loci and Mixture of Experts

A method for recognition of Persian handwritten digits based on characterization loci and mixture of experts is proposed. This method utilizes the characterization loci, as the main feature. In the classification stage of our proposed method the mixture of experts are applied. This recognition method is applied to Farsi hand-written digits in the HODA database. The experimental results support our claim that this method improves the performance compare with conventional methods. Evaluating the proposed method with 20000 test samples and ME with 4 experts that each expert has 25 neurons in hidden layer and 5 neurons in hidden layers for gating network the recognition rate of 97.52% is achieved. Comparison with some of the most related methods indicates that the proposed method yields good recognition rate in Persian handwritten digits recognition. .