Matches in SemOpenAlex for { <https://semopenalex.org/work/W2997122439> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2997122439 abstract "In present research work, we focus on design and development of a deep neural network to recognize low quality real world vehicle license plates. In the most of the previous approaches, different components of neural network are either trained or fine tuned separately. We make use of a unified architecture to integrate feature extraction, feature encoding-decoding for novel end-to-end neural network training. Feature encoding-decoding using recurrent neural network processes license plates with arbitrary lengths and provides an efficient compact model. We evaluate performance of our different models on synthetic and real world datasets. We achieve more than 99.9% accuracy for multi line, multi style, and variable length synthetic image dataset with more than 1.9% improvement in accuracy than previous works. We realize more than 98.5% accuracy for low resolution and low quality real world image dataset, which is similar to previous work." @default.
- W2997122439 created "2020-01-10" @default.
- W2997122439 creator A5040676817 @default.
- W2997122439 creator A5065787062 @default.
- W2997122439 date "2019-07-01" @default.
- W2997122439 modified "2023-09-24" @default.
- W2997122439 title "Recognizing Low Quality Vehicle License Plates using Image based Sequence Recognition" @default.
- W2997122439 cites W1491389626 @default.
- W2997122439 cites W2127141656 @default.
- W2997122439 cites W2131774270 @default.
- W2997122439 cites W2148718939 @default.
- W2997122439 cites W2194187530 @default.
- W2997122439 cites W2302255633 @default.
- W2997122439 cites W2309015593 @default.
- W2997122439 cites W2417429787 @default.
- W2997122439 cites W2580069344 @default.
- W2997122439 cites W2765100849 @default.
- W2997122439 cites W2899222654 @default.
- W2997122439 cites W2901366348 @default.
- W2997122439 cites W2901518545 @default.
- W2997122439 cites W2902932892 @default.
- W2997122439 cites W2915042738 @default.
- W2997122439 cites W2922522135 @default.
- W2997122439 cites W2949117887 @default.
- W2997122439 cites W2962829835 @default.
- W2997122439 doi "https://doi.org/10.1109/icccnt45670.2019.8944845" @default.
- W2997122439 hasPublicationYear "2019" @default.
- W2997122439 type Work @default.
- W2997122439 sameAs 2997122439 @default.
- W2997122439 citedByCount "1" @default.
- W2997122439 countsByYear W29971224392023 @default.
- W2997122439 crossrefType "proceedings-article" @default.
- W2997122439 hasAuthorship W2997122439A5040676817 @default.
- W2997122439 hasAuthorship W2997122439A5065787062 @default.
- W2997122439 hasConcept C111919701 @default.
- W2997122439 hasConcept C11413529 @default.
- W2997122439 hasConcept C115961682 @default.
- W2997122439 hasConcept C120665830 @default.
- W2997122439 hasConcept C121332964 @default.
- W2997122439 hasConcept C125411270 @default.
- W2997122439 hasConcept C138885662 @default.
- W2997122439 hasConcept C153180895 @default.
- W2997122439 hasConcept C154945302 @default.
- W2997122439 hasConcept C192209626 @default.
- W2997122439 hasConcept C2776401178 @default.
- W2997122439 hasConcept C2780560020 @default.
- W2997122439 hasConcept C31972630 @default.
- W2997122439 hasConcept C41008148 @default.
- W2997122439 hasConcept C41895202 @default.
- W2997122439 hasConcept C50644808 @default.
- W2997122439 hasConcept C52622490 @default.
- W2997122439 hasConcept C57273362 @default.
- W2997122439 hasConceptScore W2997122439C111919701 @default.
- W2997122439 hasConceptScore W2997122439C11413529 @default.
- W2997122439 hasConceptScore W2997122439C115961682 @default.
- W2997122439 hasConceptScore W2997122439C120665830 @default.
- W2997122439 hasConceptScore W2997122439C121332964 @default.
- W2997122439 hasConceptScore W2997122439C125411270 @default.
- W2997122439 hasConceptScore W2997122439C138885662 @default.
- W2997122439 hasConceptScore W2997122439C153180895 @default.
- W2997122439 hasConceptScore W2997122439C154945302 @default.
- W2997122439 hasConceptScore W2997122439C192209626 @default.
- W2997122439 hasConceptScore W2997122439C2776401178 @default.
- W2997122439 hasConceptScore W2997122439C2780560020 @default.
- W2997122439 hasConceptScore W2997122439C31972630 @default.
- W2997122439 hasConceptScore W2997122439C41008148 @default.
- W2997122439 hasConceptScore W2997122439C41895202 @default.
- W2997122439 hasConceptScore W2997122439C50644808 @default.
- W2997122439 hasConceptScore W2997122439C52622490 @default.
- W2997122439 hasConceptScore W2997122439C57273362 @default.
- W2997122439 hasLocation W29971224391 @default.
- W2997122439 hasOpenAccess W2997122439 @default.
- W2997122439 hasPrimaryLocation W29971224391 @default.
- W2997122439 hasRelatedWork W1976566885 @default.
- W2997122439 hasRelatedWork W2064979190 @default.
- W2997122439 hasRelatedWork W2207021851 @default.
- W2997122439 hasRelatedWork W2369273316 @default.
- W2997122439 hasRelatedWork W2371395634 @default.
- W2997122439 hasRelatedWork W2891194622 @default.
- W2997122439 hasRelatedWork W2947975382 @default.
- W2997122439 hasRelatedWork W2979454945 @default.
- W2997122439 hasRelatedWork W3113696520 @default.
- W2997122439 hasRelatedWork W4225963358 @default.
- W2997122439 isParatext "false" @default.
- W2997122439 isRetracted "false" @default.
- W2997122439 magId "2997122439" @default.
- W2997122439 workType "article" @default.