A study on word-level multi-script identification from video frames
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Year
: 2014DOI: 10.1109/CGNCC.2014.7007601
Keyword(s): Analytical models,Atmospheric modeling,Degradation,Pistons,Reliability,Servomotors,Valves
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A study on word-level multi-script identification from video frames
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| contributor author | Sharma, N. , Pal, U. , Blumenstein, M. | |
| date accessioned | 2020-03-12T23:24:31Z | |
| date available | 2020-03-12T23:24:31Z | |
| date issued | 2014 | |
| identifier other | 6889906.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1110438?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A study on word-level multi-script identification from video frames | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8279145 | |
| subject keywords | Analytical models | |
| subject keywords | Atmospheric modeling | |
| subject keywords | Degradation | |
| subject keywords | Pistons | |
| subject keywords | Reliability | |
| subject keywords | Servomotors | |
| subject keywords | Valves | |
| identifier doi | 10.1109/CGNCC.2014.7007601 | |
| journal title | eural Networks (IJCNN), 2014 International Joint Conference on | |
| filesize | 1387228 | |
| citations | 0 |