Natural scene horizontal character detection method based on deep convolutional neural network

Abstract

The invention provides a natural scene horizontal character detection method based on a deep convolutional neural network. According to the method, deep optimization is carried out on the basis of a TextBoxes network model, a new text prediction convolution group is added, and the network depth is expanded, so that the feature learning of the network for a small data set is more sufficient, and the feature information of a plurality of convolution layers is fully utilized to carry out fusion learning under certain model complexity. After feature learning is performed on original picture data through convolution layers with different receptive fields, a text prediction layer is utilized to return to the position of a textbox and predict a text category. According to the detection method, the influence of factors such as background complexity of a natural scene and insufficient features of a small data set on character detection is effectively solved. Experimental verification is carriedout under a Caffe platform, and results show that the model can effectively improve the recall rate and comprehensive evaluation indexes of natural scene level character detection under a small dataset.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a novel application technology of a deep convolutional neural network for natural scene text detection. Background technique [0002] The large-scale popularization of smart phones and the rapid development of the Internet have brought many new products and intelligent services, which has triggered a huge demand for practical vision technology. Text is one of the most ubiquitous visual objects in natural scenes and is very valuable for various applications in the real world. Therefore, text detection and recognition in natural scenes has become one of the research hotspots in the field of computer vision. In recent years, text detection in natural scenes has become an important research direction in the fields of image processing, computer vision, and natural language processing. [0003] Existing edge-based text detection methods first use edge characteristics to calcu...

AI Technical Summary

Problems solved by technology

A natural scene level text detection method based on deep convolutional neural network is proposed to solve the problem of natural scene level text detection under small data sets, and to overcome the background complexity in natural scenes and the adverse effects of other external factors on text detection.

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