Abstract
Aiming at the problem of the high similarity of military graphic elements and low success rate of recognition when applied to sketched drawings, a form of sketch recognition technology based on deep learning algorithms is proposed, a human–computer interaction system for sketch drawing is developed on the basis of this technology, and also an improved design scheme for human–computer interaction is proposed. Experimental verification shows that such technology improves the success rate of military graphic element recognition and the efficiency of sketch drawing.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shengzhao L (1993) Human-machine-environment system engineering theory and its significance in productivity development. In: Progress in human-machine-environment system engineering research, vol 01, pp 2–13. Beijing Science and Technology Press, Beijing
Li-Sa Z, Zheng-Xing S, Ruo-Hong Z et al (2004) A method of graph-based composite sketchy graphics recognition. J Comput Sci 31(4):147–150
Xiaoqing M, Qingbing S (2017) Handwritten signature verification algorithm based on LBP and deep learning. Chin J Quantum Electron 34(1):23–31
Lili G, Shifei D (2015) Research progress on deep learning. Comput Sci 42(5):28–33
Hinton GE, Qsindero S, The YW (2006) A fast learning algorithm for deep belief nets. Neural Comput 18(7):1527–1554
Hu G, Yang Y, Yi D et al (2015) When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition. In: Proceedings of the IEEE international conference on computer vision workshops, pp 142–150
Song Z, Yu R (2015) Research on the classification of handwriting number based on deep learning. J Chongqing Technol Bus Univ 32(8):49–53
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Feng, W. et al. (2020). Sketch Recognition and Interaction Design Based on Machine Learning. In: Long, S., Dhillon, B. (eds) Man–Machine–Environment System Engineering . MMESE 2019. Lecture Notes in Electrical Engineering, vol 576. Springer, Singapore. https://doi.org/10.1007/978-981-13-8779-1_39
Download citation
DOI: https://doi.org/10.1007/978-981-13-8779-1_39
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8778-4
Online ISBN: 978-981-13-8779-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)