[Title page]
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Year
: 2014DOI: 10.1109/ICSIP.2014.13
Keyword(s): Radon transforms,n backpropagation,n feature extraction,n handwriting recognition,n neural nets,n Radon transform,n backpropagation neural network,n binarisation,n boundary box fitting,n feature extraction stage,n gray scale conversion,n local Radon features,n neural network stage,n offline signature recognition system,n preprocessing stage,n projection features,n Feature extraction,n Fitting,n Neural networks,n Standards,n Training
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| date accessioned | 2020-03-12T21:29:35Z | |
| date available | 2020-03-12T21:29:35Z | |
| date issued | 2014 | |
| identifier other | 6945435.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1051326?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | [Title page] | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8181324 | |
| subject keywords | Radon transforms | |
| subject keywords | n backpropagation | |
| subject keywords | n feature extraction | |
| subject keywords | n handwriting recognition | |
| subject keywords | n neural nets | |
| subject keywords | n Radon transform | |
| subject keywords | n backpropagation neural network | |
| subject keywords | n binarisation | |
| subject keywords | n boundary box fitting | |
| subject keywords | n feature extraction stage | |
| subject keywords | n gray scale conversion | |
| subject keywords | n local Radon features | |
| subject keywords | n neural network stage | |
| subject keywords | n offline signature recognition system | |
| subject keywords | n preprocessing stage | |
| subject keywords | n projection features | |
| subject keywords | n Feature extraction | |
| subject keywords | n Fitting | |
| subject keywords | n Neural networks | |
| subject keywords | n Standards | |
| subject keywords | n Training | |
| identifier doi | 10.1109/ICSIP.2014.13 | |
| journal title | igital Communications - Enhanced Surveillance of Aircraft and Vehicles (TIWDC/ESAV), 2014 Tyrrhenian | |
| filesize | 94493 | |
| citations | 0 |