Matches in SemOpenAlex for { <https://semopenalex.org/work/W2562308138> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2562308138 abstract "Automatic License Plate Recognition (ALPR) has important applications in traffic surveillance. It is a challenging problem especially in countries like in India where the license plates have varying sizes, number of lines, fonts etc. The difficulty is all the more accentuated in traffic videos as the cameras are placed high and most plates appear skewed. This work aims to address ALPR using Deep CNN methods for real-time traffic videos. We first extract license plate candidates from each frame using edge information and geometrical properties, ensuring high recall. These proposals are fed to a CNN classifier for License Plate detection obtaining high precision. We then use a CNN classifier trained for individual characters along with a spatial transformer network (STN) for character recognition. Our system is evaluated on several traffic videos with vehicles having different license plate formats in terms of tilt, distances, colors, illumination, character size, thickness etc. Results demonstrate robustness to such variations and impressive performance in both the localization and recognition. We also make available the dataset for further research on this topic." @default.
- W2562308138 created "2017-01-06" @default.
- W2562308138 creator A5004370917 @default.
- W2562308138 creator A5011252646 @default.
- W2562308138 creator A5014127939 @default.
- W2562308138 creator A5045162901 @default.
- W2562308138 creator A5055091440 @default.
- W2562308138 creator A5090331933 @default.
- W2562308138 date "2016-12-18" @default.
- W2562308138 modified "2023-10-16" @default.
- W2562308138 title "Deep automatic license plate recognition system" @default.
- W2562308138 cites W1987888265 @default.
- W2562308138 cites W2030326191 @default.
- W2562308138 cites W2041334360 @default.
- W2562308138 cites W2094984312 @default.
- W2562308138 cites W2102608210 @default.
- W2562308138 cites W2106073265 @default.
- W2562308138 cites W2130666997 @default.
- W2562308138 cites W2156323526 @default.
- W2562308138 doi "https://doi.org/10.1145/3009977.3010052" @default.
- W2562308138 hasPublicationYear "2016" @default.
- W2562308138 type Work @default.
- W2562308138 sameAs 2562308138 @default.
- W2562308138 citedByCount "37" @default.
- W2562308138 countsByYear W25623081382017 @default.
- W2562308138 countsByYear W25623081382018 @default.
- W2562308138 countsByYear W25623081382019 @default.
- W2562308138 countsByYear W25623081382020 @default.
- W2562308138 countsByYear W25623081382021 @default.
- W2562308138 countsByYear W25623081382022 @default.
- W2562308138 countsByYear W25623081382023 @default.
- W2562308138 crossrefType "proceedings-article" @default.
- W2562308138 hasAuthorship W2562308138A5004370917 @default.
- W2562308138 hasAuthorship W2562308138A5011252646 @default.
- W2562308138 hasAuthorship W2562308138A5014127939 @default.
- W2562308138 hasAuthorship W2562308138A5045162901 @default.
- W2562308138 hasAuthorship W2562308138A5055091440 @default.
- W2562308138 hasAuthorship W2562308138A5090331933 @default.
- W2562308138 hasConcept C104317684 @default.
- W2562308138 hasConcept C108583219 @default.
- W2562308138 hasConcept C111919701 @default.
- W2562308138 hasConcept C115961682 @default.
- W2562308138 hasConcept C153180895 @default.
- W2562308138 hasConcept C154945302 @default.
- W2562308138 hasConcept C185592680 @default.
- W2562308138 hasConcept C2780560020 @default.
- W2562308138 hasConcept C2983589003 @default.
- W2562308138 hasConcept C2987247673 @default.
- W2562308138 hasConcept C31972630 @default.
- W2562308138 hasConcept C41008148 @default.
- W2562308138 hasConcept C52622490 @default.
- W2562308138 hasConcept C55493867 @default.
- W2562308138 hasConcept C63479239 @default.
- W2562308138 hasConcept C81669768 @default.
- W2562308138 hasConcept C95623464 @default.
- W2562308138 hasConceptScore W2562308138C104317684 @default.
- W2562308138 hasConceptScore W2562308138C108583219 @default.
- W2562308138 hasConceptScore W2562308138C111919701 @default.
- W2562308138 hasConceptScore W2562308138C115961682 @default.
- W2562308138 hasConceptScore W2562308138C153180895 @default.
- W2562308138 hasConceptScore W2562308138C154945302 @default.
- W2562308138 hasConceptScore W2562308138C185592680 @default.
- W2562308138 hasConceptScore W2562308138C2780560020 @default.
- W2562308138 hasConceptScore W2562308138C2983589003 @default.
- W2562308138 hasConceptScore W2562308138C2987247673 @default.
- W2562308138 hasConceptScore W2562308138C31972630 @default.
- W2562308138 hasConceptScore W2562308138C41008148 @default.
- W2562308138 hasConceptScore W2562308138C52622490 @default.
- W2562308138 hasConceptScore W2562308138C55493867 @default.
- W2562308138 hasConceptScore W2562308138C63479239 @default.
- W2562308138 hasConceptScore W2562308138C81669768 @default.
- W2562308138 hasConceptScore W2562308138C95623464 @default.
- W2562308138 hasLocation W25623081381 @default.
- W2562308138 hasOpenAccess W2562308138 @default.
- W2562308138 hasPrimaryLocation W25623081381 @default.
- W2562308138 hasRelatedWork W2062129971 @default.
- W2562308138 hasRelatedWork W2098577506 @default.
- W2562308138 hasRelatedWork W2100767492 @default.
- W2562308138 hasRelatedWork W2356609883 @default.
- W2562308138 hasRelatedWork W2364333216 @default.
- W2562308138 hasRelatedWork W2369368417 @default.
- W2562308138 hasRelatedWork W2389538036 @default.
- W2562308138 hasRelatedWork W2392545299 @default.
- W2562308138 hasRelatedWork W3032723044 @default.
- W2562308138 hasRelatedWork W1941102849 @default.
- W2562308138 isParatext "false" @default.
- W2562308138 isRetracted "false" @default.
- W2562308138 magId "2562308138" @default.
- W2562308138 workType "article" @default.