Mustansiriyah Journal of Pure and Applied Sciences

A study on offline handwritten Chinese character recognition based on chaotic iteration

W. B. Yu , T. T. Ma

DOI: https://doi.org/10.47831/mjpas.v2i1.100

Keywords: chaotic attractor;offline handwritten Chinese character recognition; dynamical system; iteration;feature extractio

Abstract

Offline handwritten Chinese character recognition technology has important practical value in the field of automatic machine entryomit, and is one of the research hotspots of intelligent technology. In this paper, a handwritten Chinese character feature extraction method based on dynamic system iteration is constructed by using chaos theory. Firstly, from the perspective of system iteration, the Chinese character image is preprocessed to optimize the image information. Secondly, the iterative matrix constructed by the auxiliary function is combined with the handwritten Chinese character image dot matrix to avoid repetiton the discrete dynamic system, and the approximate chaotic attractor is iteratively generated as the image feature. Then, the similarity of the image is determined according to the size of the Pearson correlation coefficient. Finally, multiple auxiliary functions with large differences are selected to generate multiple discrete chaotic dynamic systems. The above operations are repeated, and the unrecognized image set is used as the next data set to be identified. The experimental results show that the recognition algorithm has achieved good recognition results on the HCL2000 Chinese character database.