A study on word-level multi-script identification from video frames
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سال
: 2014شناسه الکترونیک: 10.1109/CGNCC.2014.7007601
کلیدواژه(گان): 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 | http://libsearch.um.ac.ir:80/fum/handle/fum/1110438 | |
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 |