Determining Confidence in Optical Character Recognition Resolution Using Bayesian Networks
نویسندگان
چکیده
The purpose of this research is to determine the optimal resolution necessary to divide a character space to confidently distinguish a (capital) B and an 8. The confidence level is obtained using the Hugin [1,2] software as a tool for creating Bayesian networks that represent the character space at different resolutions.
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