Scipediacontent: Scipediacontent moved page Draft Content 102081843 to 238,295bv

2021-03-22T18:49:59Z

Scipediacontent moved page Draft Content 102081843 to 238,295bv

Scipediacontent: Created page with " == Abstract == License plate recognition system (LPR) plays a vital role in intelligent transport systems to build up smart environments. Numerous country specific methods h..."

2021-03-22T18:49:37Z

Created page with " == Abstract == License plate recognition system (LPR) plays a vital role in intelligent transport systems to build up smart environments. Numerous country specific methods h..."

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== Abstract ==

License plate recognition system (LPR) plays a vital role in intelligent transport systems to build up smart environments. Numerous country specific methods have been proposed successfully for an LPR system, but there is a need to find a generalized solution that is independent of license plate layout. The proposed architecture is comprised of two important LPR stages: (i) License plate character segmentation (LPCS) and (ii) License plate character recognition (LPCR). A foreground polarity detection model is proposed by using a Red-Green-Blue (RGB) channel-based color map in order to segment and recognize the LP characters effectively at both LPCS and LPCR stages respectively. Further, a multi-channel CNN framework with layer aggregation module is proposed to extract deep features, and support vector machine is used to produce target labels. Multi-channel processing with merged features from different-level convolutional layers makes output feature map more expressive. Experimental results show that the proposed method is capable of achieving high recognition rate for multinational vehicles license plates under various illumination conditions.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_102081843-beopen1073-5448-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.3390/app10062165 http://dx.doi.org/10.3390/app10062165] under the license https://creativecommons.org/licenses/by

* [https://www.mdpi.com/2076-3417/10/6/2165/pdf https://www.mdpi.com/2076-3417/10/6/2165/pdf] under the license http://creativecommons.org/licenses/by/3.0/

* [https://pure.au.dk/portal/da/publications/an-adaptive-approach-for-multinational-vehicle-license-plate-recognition-using-multilevel-deep-features-and-foreground-polarity-detection-model(e5c73385-3754-4a9e-8fd7-ee5dda254a77).html https://pure.au.dk/portal/da/publications/an-adaptive-approach-for-multinational-vehicle-license-plate-recognition-using-multilevel-deep-features-and-foreground-polarity-detection-model(e5c73385-3754-4a9e-8fd7-ee5dda254a77).html],
: [https://doi.org/10.3390/app10062165 https://doi.org/10.3390/app10062165],
: [http://www.scopus.com/inward/record.url?scp=85082673435&partnerID=8YFLogxK http://www.scopus.com/inward/record.url?scp=85082673435&partnerID=8YFLogxK] under the license cc-by

* [https://www.mdpi.com/2076-3417/10/6/2165 https://www.mdpi.com/2076-3417/10/6/2165],
: [https://doaj.org/toc/2076-3417 https://doaj.org/toc/2076-3417]

* [https://www.mdpi.com/2076-3417/10/6/2165/pdf https://www.mdpi.com/2076-3417/10/6/2165/pdf],
: [http://dx.doi.org/10.3390/app10062165 http://dx.doi.org/10.3390/app10062165]

* [https://www.mdpi.com/2076-3417/10/6/2165/pdf https://www.mdpi.com/2076-3417/10/6/2165/pdf],
: [https://academic.microsoft.com/#/detail/3013610290 https://academic.microsoft.com/#/detail/3013610290] under the license https://creativecommons.org/licenses/by/4.0/

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Scipediacontent: Scipediacontent moved page Draft Content 102081843 to 238,295bv

Scipediacontent: Created page with " == Abstract == License plate recognition system (LPR) plays a vital role in intelligent transport systems to build up smart environments. Numerous country specific methods h..."