Handwritten Chinese character recognition method based on substructure learning

Abstract

The invention discloses a handwritten Chinese character recognition method based on substructure learning. The handwritten Chinese character recognition method based on substructure learning comprises the following steps of taking a Chinese character segmented fragment as a substructure of a Chinese character, extracting a Chinese character substructure mode from a Chinese character segmented fragment sample, bringing the Chinese character substructure mode into training of a Chinese character classifier, and finally realizing recognition of a handwritten Chinese character string through the combination of substructure recognition information and Chinese character substructure constitution information. The handwritten Chinese character recognition method is based on the characteristic that each Chinese character is composed of one or more substructures. Due to the facts that the Chinese character substructures are extracted, and the Chinese character substructures and the individual Chinese character are simultaneously trained in the Chinese character classifier, the reliability of recognition of the Chinese character segmented fragment is effectively improved in the process of recognition of the handwritten Chinese character string, errors, caused by unreliable recognition of the Chinese character segmented fragment, of recognition of the handwritten Chinese character string are reduced, and the precision of handwritten Chinese character recognition is improved.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, in particular to a method for recognizing handwritten Chinese character strings. Background technique [0002] Handwritten Chinese recognition technology has a wide range of applications in the fields of office automation, data entry, human-computer interaction, etc. However, the unlimited handwritten Chinese recognition technology is one of the difficulties, which restricts its popularization in actual commercial use, but its good application prospects Make it a hotspot of current technology research. The traditional handwritten Chinese recognition technology adopts the recognition-based segmentation method to realize the recognition of handwritten Chinese character strings. First, the Chinese character string is divided into several character segments. Usually, a character is divided into one or more character segments, thus forming a A sequence of character fragments, different co...

AI Technical Summary

Problems solved by technology

The Chinese character classifier used in the traditional method is only trained on the Chinese character category, but in practical applications, due to the influence of many factors such as large deformation of handwritten Chinese characters, irregularities, and large differences in handwriting styles, the traditional Chinese character recognizer’s performance on character segmentation segments The recognition reliability is low, which limits the final string recognition accuracy

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