Matches in SemOpenAlex for { <https://semopenalex.org/work/W2768195004> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2768195004 abstract "The objective of this work is to convert printed text or handwritten characters recorded offline using either scanning equipment or cameras into a machine-usable text by simulating a neural network so that it would improve the process of collecting and storing data by human workers. Another goal is to provide an alternate, better and faster algorithm with higher accuracy to recognize the characters. In this context, we choose artificial neural network and make it much more tolerant to anomalies in the recorded image or data. Common optical character recognition tasks involve identifying simple edge detection and matching them with predefined patterns. In this research, characters are recognized even when noise such as inclination and skewedness presents, by training the network to look for discrepancies in data and relate them using vocabulary, grammar and common recurrences that may occur after a character. Images are also masked in multiple ways and processed individually to increase the confidence level of prediction." @default.
- W2768195004 created "2017-12-04" @default.
- W2768195004 creator A5002048732 @default.
- W2768195004 creator A5020998500 @default.
- W2768195004 creator A5057038181 @default.
- W2768195004 date "2017-01-01" @default.
- W2768195004 modified "2023-09-23" @default.
- W2768195004 title "Optical character recognition using artificial neural network" @default.
- W2768195004 cites W1987366206 @default.
- W2768195004 cites W2152885317 @default.
- W2768195004 cites W2160244865 @default.
- W2768195004 cites W3099148761 @default.
- W2768195004 cites W4238410424 @default.
- W2768195004 doi "https://doi.org/10.1109/iccci.2017.8117703" @default.
- W2768195004 hasPublicationYear "2017" @default.
- W2768195004 type Work @default.
- W2768195004 sameAs 2768195004 @default.
- W2768195004 citedByCount "11" @default.
- W2768195004 countsByYear W27681950042018 @default.
- W2768195004 countsByYear W27681950042019 @default.
- W2768195004 countsByYear W27681950042021 @default.
- W2768195004 countsByYear W27681950042023 @default.
- W2768195004 crossrefType "proceedings-article" @default.
- W2768195004 hasAuthorship W2768195004A5002048732 @default.
- W2768195004 hasAuthorship W2768195004A5020998500 @default.
- W2768195004 hasAuthorship W2768195004A5057038181 @default.
- W2768195004 hasConcept C105795698 @default.
- W2768195004 hasConcept C111919701 @default.
- W2768195004 hasConcept C115961682 @default.
- W2768195004 hasConcept C136764020 @default.
- W2768195004 hasConcept C138885662 @default.
- W2768195004 hasConcept C151730666 @default.
- W2768195004 hasConcept C153180895 @default.
- W2768195004 hasConcept C154945302 @default.
- W2768195004 hasConcept C165064840 @default.
- W2768195004 hasConcept C204321447 @default.
- W2768195004 hasConcept C2524010 @default.
- W2768195004 hasConcept C2777601683 @default.
- W2768195004 hasConcept C2779343474 @default.
- W2768195004 hasConcept C2780615836 @default.
- W2768195004 hasConcept C2780861071 @default.
- W2768195004 hasConcept C28490314 @default.
- W2768195004 hasConcept C33923547 @default.
- W2768195004 hasConcept C41008148 @default.
- W2768195004 hasConcept C41895202 @default.
- W2768195004 hasConcept C50644808 @default.
- W2768195004 hasConcept C546480517 @default.
- W2768195004 hasConcept C86803240 @default.
- W2768195004 hasConcept C98045186 @default.
- W2768195004 hasConceptScore W2768195004C105795698 @default.
- W2768195004 hasConceptScore W2768195004C111919701 @default.
- W2768195004 hasConceptScore W2768195004C115961682 @default.
- W2768195004 hasConceptScore W2768195004C136764020 @default.
- W2768195004 hasConceptScore W2768195004C138885662 @default.
- W2768195004 hasConceptScore W2768195004C151730666 @default.
- W2768195004 hasConceptScore W2768195004C153180895 @default.
- W2768195004 hasConceptScore W2768195004C154945302 @default.
- W2768195004 hasConceptScore W2768195004C165064840 @default.
- W2768195004 hasConceptScore W2768195004C204321447 @default.
- W2768195004 hasConceptScore W2768195004C2524010 @default.
- W2768195004 hasConceptScore W2768195004C2777601683 @default.
- W2768195004 hasConceptScore W2768195004C2779343474 @default.
- W2768195004 hasConceptScore W2768195004C2780615836 @default.
- W2768195004 hasConceptScore W2768195004C2780861071 @default.
- W2768195004 hasConceptScore W2768195004C28490314 @default.
- W2768195004 hasConceptScore W2768195004C33923547 @default.
- W2768195004 hasConceptScore W2768195004C41008148 @default.
- W2768195004 hasConceptScore W2768195004C41895202 @default.
- W2768195004 hasConceptScore W2768195004C50644808 @default.
- W2768195004 hasConceptScore W2768195004C546480517 @default.
- W2768195004 hasConceptScore W2768195004C86803240 @default.
- W2768195004 hasConceptScore W2768195004C98045186 @default.
- W2768195004 hasLocation W27681950041 @default.
- W2768195004 hasOpenAccess W2768195004 @default.
- W2768195004 hasPrimaryLocation W27681950041 @default.
- W2768195004 hasRelatedWork W1579668482 @default.
- W2768195004 hasRelatedWork W2084564248 @default.
- W2768195004 hasRelatedWork W2102298087 @default.
- W2768195004 hasRelatedWork W2130515063 @default.
- W2768195004 hasRelatedWork W2193242264 @default.
- W2768195004 hasRelatedWork W2921924962 @default.
- W2768195004 hasRelatedWork W2948131761 @default.
- W2768195004 hasRelatedWork W3185683705 @default.
- W2768195004 hasRelatedWork W823110065 @default.
- W2768195004 hasRelatedWork W95215663 @default.
- W2768195004 isParatext "false" @default.
- W2768195004 isRetracted "false" @default.
- W2768195004 magId "2768195004" @default.
- W2768195004 workType "article" @default.