Barrier Access Control Using Sensors Platform and Vehicle License Plate Characters Recognition Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.3390/s19133015
The paper proposes a sensors platform to control a barrier that is installed for vehicles entrance. This platform is automatized by image-based license plate recognition of the vehicle. However, in situations where standardized license plates are not used, such image-based recognition becomes non-trivial and challenging due to the variations in license plate background, fonts and deformations. The proposed method first detects the approaching vehicle via ultrasonic sensors and, at the same time, captures its image via a camera installed along with the barrier. From this image, the license plate is automatically extracted and further processed to segment the license plate characters. Finally, these characters are recognized with the help of a standard optical character recognition (OCR) pipeline. The evaluation of the proposed system shows an accuracy of 98% for license plates extraction, 96% for character segmentation and 93% for character recognition.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s19133015
- https://www.mdpi.com/1424-8220/19/13/3015/pdf?version=1562654732
- OA Status
- gold
- Cited By
- 28
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2958268102
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2958268102Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s19133015Digital Object Identifier
- Title
-
Barrier Access Control Using Sensors Platform and Vehicle License Plate Characters RecognitionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-09Full publication date if available
- Authors
-
Farman Ullah, Hafeez Anwar, Iram Shahzadi, Ata Ur Rehman, Shizra Mehmood, Sania Niaz, Khalid Mahmood Awan, Ajmal Khan, Daehan KwakList of authors in order
- Landing page
-
https://doi.org/10.3390/s19133015Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/19/13/3015/pdf?version=1562654732Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/19/13/3015/pdf?version=1562654732Direct OA link when available
- Concepts
-
License, Pipeline (software), Artificial intelligence, Character (mathematics), Computer vision, Optical character recognition, Character recognition, Computer science, Segmentation, Image (mathematics), Engineering, Programming language, Geometry, Mathematics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
28Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7, 2024: 3, 2023: 4, 2022: 3, 2021: 4Per-year citation counts (last 5 years)
- References (count)
-
39Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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