Seal script recognition method and system based on Incep-CapsNet network

Abstract

The invention relates to a seal script recognition method and system based on an Incep-CapsNet network. The method comprises the steps that a seal script image dataset is acquired, and classificationtags are produced according to character patterns and character styles; preprocessing operation and image augmentation operation are performed on the image dataset; feature extraction and classification recognition are performed on seal script images obtained after preprocessing and image augmentation through the Incep-CapsNet network; and reconstruction is performed on the seal script images obtained after preprocessing and image augmentation through a reconstruction network to serve as an effective regularization mode. Through the seal script recognition method and system, more and more essential features can be extracted according to an Inception structure, the defects that the orientation of features and relative positions in a space cannot be recognized through a traditional deep convolutional neural network model are overcome according to a capsule network, and high recognition precision and high robustness are both achieved.

Description

technical field [0001] The present invention relates to the field of image recognition, in particular to the research field of image recognition of ancient characters, specifically a seal script recognition method and system based on the Incep-CapsNet network. Background technique [0002] Seal script is the core component of ancient Chinese characters, and it is also the earliest one among the five major calligraphy fonts in my country. It mainly includes big seal script and small seal script. Among them, big seal script mainly refers to ancient scripts such as oracle bone inscriptions and bronze scripts before the Qin Dynasty, and small seal script refers to the unified characters of Qin Shihuang. The font to use afterwards. In terms of the quantity, shape and structure of seal characters, they have all been well developed. As an important information carrier of ancient Chinese culture, seal script has played an important role in the cultural inheritance and development of...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose a seal character recognition method and system based on the Incep-CapsNet network, which can extract more and more essential features according to the Inception structure, and overcome the traditional deep convolutional neural network based on the capsule network. The shortcomings of the network model, such as the orientation of features that cannot be recognized and the relative position in space, have both accurate recognition accuracy and strong robustness.

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