Hand-drawn sketch recognition with a double-channel convolutional neural network

被引：0
作者：
Lei Zhang
机构：
[1] Digital Media College of Chongqing College of Electronic Engineering,
来源：
EURASIP Journal on Advances in Signal Processing | / 2021卷
关键词：
Hand-drawn sketch recognition; Multi-channel; Convolution neural network; Deep learning; Double-channel CNN;
D O I：
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学科分类号：
摘要：
In hand-drawn sketch recognition, the traditional deep learning method has the problems of insufficient feature extraction and low recognition rate. To solve this problem, a new algorithm based on a dual-channel convolutional neural network is proposed. Firstly, the sketch is preprocessed to get a smooth sketch. The contour of the sketch is obtained by the contour extraction algorithm. Then, the sketch and contour are used as the input image of CNN. Finally, feature fusion is carried out in the full connection layer, and the classification results are obtained by using a softmax classifier. Experimental results show that this method can effectively improve the recognition rate of a hand-drawn sketch.
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