Chinese detection method and system based on unsupervised learning deep learning network

Abstract

The invention discloses a Chinese detection method and system based on an unsupervised learning deep learning network. The present invention uses an unsupervised learning method to train a deep convolutional neural network, then uses the network to classify each candidate text area in a natural image, and finally performs text line aggregation on the area classified as text, and detects the text area in the image . The present invention grasps the super-strong extraction ability of the deep learning network for image features, utilizes the powerful training ability of unsupervised learning, and trains the deep convolutional neural network for the characteristics of Chinese characters, so as to realize the positioning and segmentation of the text area, and the method is simple and effective; Constructed a deep convolutional neural network unsupervised learning method, which has better pertinence in text detection, so it has higher initiative and accuracy.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a text detection method and system based on an unsupervised learning deep learning network in natural scene images. Background technique [0002] Text is an important feature in many applications of computer vision. The text in the image contains a lot of useful information, which is crucial to the understanding and acquisition of visual content. The main purpose of text extraction is to convert text images into symbolic forms, which facilitates modification, retrieval, utilization and transmission. Text localization is an important step in text extraction. [0003] Text localization is the precise positioning of the text position in the image. The text localization method based on extremum connected domains first represents the image as connected domains one by one, and then proceeds from the structural analysis, marks the text lines through the merging metho...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a Chinese detection method and system based on unsupervised learning and deep learning network in natural scene images, using text region feature extraction based on deep learning and classification methods can overcome the above problems and improve the recognition effect

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