Study of character recognition of digital display instrument in coal mine substatio
In view of problems of low automation degree and recognition reliability of digital display instrument in coal mine substation, a kind of character recognition algorithm based on improved genetic algorithm and support vector machine algorithm was proposed. The algorithm adopts Harr-Like features as...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Industry and Mine Automation
2016-09-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.09.015 |
| _version_ | 1797868871033552896 |
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| author | HAO Jianhua |
| author_facet | HAO Jianhua |
| author_sort | HAO Jianhua |
| collection | DOAJ |
| description | In view of problems of low automation degree and recognition reliability of digital display instrument in coal mine substation, a kind of character recognition algorithm based on improved genetic algorithm and support vector machine algorithm was proposed. The algorithm adopts Harr-Like features as character recognition features, improved genetic algorithm was chosen to search the optimal parameters of the support vector machine classifier, and uses principal component analysis method to conduct the dimension reducing process, then applies support vector machine to identify character of the digital display instrument. The effectiveness and feasibility of the algorithm was validated by experiments. |
| first_indexed | 2024-04-10T00:02:39Z |
| format | Article |
| id | doaj.art-bd19c982247640859d373c52c432f994 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:02:39Z |
| publishDate | 2016-09-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-bd19c982247640859d373c52c432f9942023-03-17T01:41:51ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2016-09-01429646710.13272/j.issn.1671-251x.2016.09.015Study of character recognition of digital display instrument in coal mine substatioHAO JianhuaIn view of problems of low automation degree and recognition reliability of digital display instrument in coal mine substation, a kind of character recognition algorithm based on improved genetic algorithm and support vector machine algorithm was proposed. The algorithm adopts Harr-Like features as character recognition features, improved genetic algorithm was chosen to search the optimal parameters of the support vector machine classifier, and uses principal component analysis method to conduct the dimension reducing process, then applies support vector machine to identify character of the digital display instrument. The effectiveness and feasibility of the algorithm was validated by experiments.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.09.015coal mine substationdigital display instrumentcharacter recognitionharr-like featuresimproved genetic algorithm |
| spellingShingle | HAO Jianhua Study of character recognition of digital display instrument in coal mine substatio Gong-kuang zidonghua coal mine substation digital display instrument character recognition harr-like features improved genetic algorithm |
| title | Study of character recognition of digital display instrument in coal mine substatio |
| title_full | Study of character recognition of digital display instrument in coal mine substatio |
| title_fullStr | Study of character recognition of digital display instrument in coal mine substatio |
| title_full_unstemmed | Study of character recognition of digital display instrument in coal mine substatio |
| title_short | Study of character recognition of digital display instrument in coal mine substatio |
| title_sort | study of character recognition of digital display instrument in coal mine substatio |
| topic | coal mine substation digital display instrument character recognition harr-like features improved genetic algorithm |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.09.015 |
| work_keys_str_mv | AT haojianhua studyofcharacterrecognitionofdigitaldisplayinstrumentincoalminesubstatio |