Abstract
Data classification and data processing are relevant tasks in the field of automatic information processing. For successful functioning of the data classification and data processing software, the methods that provide high operation flow velocity and identification accuracy are necessary. The research showed that Viola-Jones and HOG (Histogram of Oriented Gradients) have good indexes of the effectiveness of identification and high working speed. Each of these methods are implemented by different approaches, and has their own advantages, disadvantages and limitations of applicability. The software system for solving the problem of recognition and classification has been developed based on these methods during work.
Original language | English |
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Title of host publication | Intelligent Computing - Proceedings of the 2019 Computing Conference |
Editors | Kohei Arai, Rahul Bhatia, Supriya Kapoor |
Publisher | Springer Verlag |
Pages | 1063-1074 |
Number of pages | 12 |
ISBN (Print) | 9783030228705 |
DOIs | |
Publication status | Published - 2019 |
Event | Computing Conference, 2019 - London, United Kingdom Duration: Jul 16 2019 → Jul 17 2019 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Volume | 997 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference
Conference | Computing Conference, 2019 |
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Country/Territory | United Kingdom |
City | London |
Period | 7/16/19 → 7/17/19 |
Funding
This work was done as part of a research grant №AP05131784 of the Ministry of Education and Science of the Republic of Kazakhstan for 2018-2020. Acknowledgment. This work was done as part of a research grant №AP05131784 of the Ministry of Education and Science of the Republic of Kazakhstan for 2018-2020.
Keywords
- Algorithm
- Classification
- Data
- Method
- Program
- System
ASJC Scopus subject areas
- Control and Systems Engineering
- General Computer Science