Application analysis of image recognition based on multiple intelligence algorithm. (May 2020)
- Record Type:
- Journal Article
- Title:
- Application analysis of image recognition based on multiple intelligence algorithm. (May 2020)
- Main Title:
- Application analysis of image recognition based on multiple intelligence algorithm
- Authors:
- Jiang, Jiyue
Wu, Hao
Cui, Yang
Cai, Yijia
Yu, Chenglong
Zhong, Ruitao - Abstract:
- Abstract: Image recognition technology based on artificial intelligence algorithm has entered a rapid development stage. According to the development and research status at home and abroad, we can see that PCA, ANN, SVN and other technologies can effectively realize the recognition and generation of images, especially the extraction and prediction of face features, classification and recognition. The analysis and application of the generation countermeasure network (GAN) technology is mainly embodied in the realization of the generation and analysis of handwritten numbers, and the accurate prediction of the promotion and application of SVM technology, as well as the comprehensive and accurate analysis of the generation effect. This paper mainly studies the comparative analysis and application of human face database (ORL) through the relevant data. By extracting 50 face samples, 500 face images are produced for recognition analysis and application.
- Is Part Of:
- Journal of physics. Volume 1550:Number 3(2020)
- Journal:
- Journal of physics
- Issue:
- Volume 1550:Number 3(2020)
- Issue Display:
- Volume 1550, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 1550
- Issue:
- 3
- Issue Sort Value:
- 2020-1550-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1550/3/032131 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25401.xml