MULTI-AGENT BASED RECOGNITION SYSTEM OF PRINTED MONGOLIAN CHARACTERS
This work is supported by grant 69965001 of China National Nature Science Foundation.
Character recognition is an important research area. The recognition of printed Mongolian characters is a brand new research orientation. We adopt syntactic structural recognition as the main method and implement the recognition of multi-font printed Mongolian, In order to enhance the efficiency of human-machine interaction interface, The whole system is based on multi-agent architecture. Practice demonstrates that the whole correctness rate is up to 98.2%, human-machine interaction environment is also greatly improved.