| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 02036 | |
| Number of page(s) | 4 | |
| Section | 3D Images Reconstruction and Virtual System | |
| DOI | https://doi.org/10.1051/matecconf/201823202036 | |
| Published online | 19 November 2018 | |
Research and design of intelligent image recognition mechanism and its application
1
Hefei University teaching and experimental center, 230022, Hefei, AnHui, China
2
College of electrical automation, HeFei University of Technology professor, 230069, Hefei, AnHui, China
3
College of physics and electronics, Henan University 475001, Kaifeng, HeNan, China
a Corresponding author: hfuu.wangxy@163.com
In this paper, an in-depth study on the recognition mechanism (identification experts) and behavioral function simulation is made, and a design method has been developed -----Image recognition mechanism. The research results and methods are expounded. At the same time, experiments are carried out on the above design methods. The effectiveness and feasibility of this design have been proved by experiments. Furthermore, the design of the expert observer is carried out. The design of artificial intelligent character recognition machine. Its ability to recognize complex background images has a high success rate, which has been proved by experiments, and its adaptive ability is very strong.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.