Feature feedback-based system for recognition of handwritten Chinese characters

Abstract

Due to the difficulty of conforming to human recognition process with traditional open loop recognition system,a simulated intelligent recognition system with feedback structure was constructed.Choosing the best initial recognition method based on the multimodal and qualitative recognition result,the system extracted general characters recognition error to judge the credibility and feedback correction after the initial recognition.Three kinds of general characters recognition error were designed according to the feedback result.The credibility evaluation index system and feedback correction decision-making mechanism of the recognition result were established by qualitative and quantitative analysis of three kinds of general characters recognition error.And the analytical method of the recognition error was given.The experimental results prove that the presented method is effective.