Application of deep neural networks for military symbol recognition from sketch images
Year: 2024
Type: article
Abstract: The purpose of this research is to test the effectiveness of deep neural networks in recognizing sketch images, particularly military symbols. Sketch images are highly abstract and lack typical features of real images, such as color, background, and environmental details, making the use of deep neural networks a significant challenge. To address this issue, we implement a sketch image recognition model based on Convolutional Neural Networks (CNN). The content of the paper includes designing and describing a new CNN model optimized for symbol recognition from sketch images. We have trained this model on a dataset self-constructed by our team. The training results show that the model has high accuracy in recognizing military symbols from sketch images, confirming the potential of deep neural networks in this field.
Authors: Khắc Điệp Nguyễn, Tuan Anh Pham, Bui Thien Duc Le, Le Tuan Dat Tran, Tan Anh Hao Le, Ngoc Bao Vinh Phan
Institution: Ho Chi Minh City University of Industry and Trade
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4406127933