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Research on the Theory of Artificial Intelligence Recognition Technology

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DOI: 10.23977/jaip.2022.050403 | Downloads: 8 | Views: 931

Author(s)

Liang Jin 1, Weicheng Huang 1, Juncheng Zhao 1

Affiliation(s)

1 Shenyang Institute of Technology, Fushun, Liaoning, China

Corresponding Author

Liang Jin

ABSTRACT

With the continuous development of modern science and technology, artificial intelligence technology has gradually become the main research direction in the computer field. Various artificial intelligence recognition technologies have been widely used in all walks of life, greatly promoting the development of the industry, and also providing convenience for people's daily work and life. In this paper, the connotation, research status, technical characteristics, key technologies and inspiration of artificial intelligence recognition technology are combed out. The analysis and development inspiration of artificial intelligence recognition technology find that artificial intelligence recognition technology has two categories of supervised and unsupervised technologies and is widely used in the use and research of various recognition technologies. This paper discusses the application of computer artificial intelligence recognition technology in exploring the development direction of artificial intelligence innovation and the development of artificial intelligence recognition technology to provide a theoretical research basis.

KEYWORDS

AI, AI Recognition Technology, Multimodal Biometric, Neural Network

CITE THIS PAPER

Liang Jin, Weicheng Huang, Juncheng Zhao, Research on the Theory of Artificial Intelligence Recognition Technology. Journal of Artificial Intelligence Practice (2022) Vol. 5: 15-21. DOI: http://dx.doi.org/10.23977/jaip.2022.050403.

REFERENCES

[1] Sun Liang. Theoretical breakthrough in computer intelligent image recognition technology [J]. Digital Technology and Application, 2016 (3).
[2] Jiang Shuqiang, Min Weiqing, Wang Shu hui. Overview and prospect of image recognition technology for intelligent interaction [J]. Computer Research and Development, 2016 (10).
[3] Deng Chao hui. Try to analyze the application of image recognition technology in artificial intelligence [J]. Information record materials, 2019, 20 (11): 134-135.
[4] Zhang Wen juan. Analysis on Key Technologies of Computer Artificial Intelligence Identification [J]. Electronic Testing, 2019 (1): 139-140.
[5] Nie Hao, Lu Xi long, Guo Wen zhi, Li Yongyong, Han Guangjie, Zhao Xingchun. Research Progress of Multimodal Biometric Recognition Technology [J]. Life Science Instruments, 2020,18 (05): 20-28.
[6] Xu Peng. Application of computer vision technology in channel monitoring and real observation system [J]. Ship Science and Technology, 2020, 42 (24): 25-27.
[7] Xia Zhonghua. Single biometric identification mode is challenged, multimodal identification becomes a trend -- and the year-end review of biometric market development in 2020 and prospects for 2021 [J]. China Security, 2020 (12): 67-71.
[8] Fan Beibei, Wang Bihu, Zhou Peng cheng, Li Yuan song, Zhao Lian gjun. Analysis of key technologies of artificial intelligence recognition [J]. Electronic Testing, 2021 (15): 81-82.
[9] Ross A, Jain AK. Multimodal biometrics: Anoverview. in Proceedings of 12th European Signal Processing Conference 2004:1221- 1224.
[10] Ross a, Jain AK. Information fusion in biometric. pattern recognition letters 2003 24:2215-2125.
[11] Wang Yu, Mu Zhichun, Xu Zhengguang. Overview of Multimodal Biometric Recognition Technology [J]. Computer Application and Software, 2009, 26 (2): 31-34.
[12] Jain A K,Ross A,Prabhakar S.An Introduction to Biometric Recognition[J]. IEEE Transactions on Circuits and Systems for Video Technology,2004,14(1):4–20.
[13] Gäring S, Brand K, Raake A. Extended features using machine learning techniques for photo liking predictio In Tenth International Conference on Quality of Multimedia Experience, Cagliari, Italy, 2018: 1-6. 

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