A Vehicular License Plate Recognition Framework For Skewed Images
Vehicular license plate (LP) recognition system has risen as a significant field of research recently because various explorations are currently being conducted by the researchers to cope with the challenges of LPs which include different illumination and angular situations. This research focused on...
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| Format: | Article |
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Korean Society for Internet Information
2018
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| author | Arafat, Muhammad Yeasir Khairuddin, Anis Salwa Mohd Paramesran, Raveendran |
| author_facet | Arafat, Muhammad Yeasir Khairuddin, Anis Salwa Mohd Paramesran, Raveendran |
| author_sort | Arafat, Muhammad Yeasir |
| collection | UM |
| description | Vehicular license plate (LP) recognition system has risen as a significant field of research recently because various explorations are currently being conducted by the researchers to cope with the challenges of LPs which include different illumination and angular situations. This research focused on restricted conditions such as using image of only one vehicle, stationary background, no angular adjustment of the skewed images. A real time vehicular LP recognition scheme is proposed for the skewed images for detection, segmentation and recognition of LP. In this research, a polar co-ordinate transformation procedure is implemented to adjust the skewed vehicular images. Besides that, window scanning procedure is utilized for the candidate localization that is based on the texture characteristics of the image. Then, connected component analysis (CCA) is implemented to the binary image for character segmentation where the pixels get connected in an eight-point neighbourhood process. Finally, optical character recognition is implemented for the recognition of the characters. For measuring the performance of this experiment, 300 skewed images of different illumination conditions with various tilt angles have been tested. The results show that proposed method able to achieve accuracy of 96.3% in localizing, 95.4% in segmenting and 94.2% in recognizing the LPs with an average localization time of 0.52s. |
| first_indexed | 2024-03-06T05:57:01Z |
| format | Article |
| id | um.eprints-22456 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:57:01Z |
| publishDate | 2018 |
| publisher | Korean Society for Internet Information |
| record_format | dspace |
| spelling | um.eprints-224562019-09-20T01:44:57Z http://eprints.um.edu.my/22456/ A Vehicular License Plate Recognition Framework For Skewed Images Arafat, Muhammad Yeasir Khairuddin, Anis Salwa Mohd Paramesran, Raveendran TK Electrical engineering. Electronics Nuclear engineering Vehicular license plate (LP) recognition system has risen as a significant field of research recently because various explorations are currently being conducted by the researchers to cope with the challenges of LPs which include different illumination and angular situations. This research focused on restricted conditions such as using image of only one vehicle, stationary background, no angular adjustment of the skewed images. A real time vehicular LP recognition scheme is proposed for the skewed images for detection, segmentation and recognition of LP. In this research, a polar co-ordinate transformation procedure is implemented to adjust the skewed vehicular images. Besides that, window scanning procedure is utilized for the candidate localization that is based on the texture characteristics of the image. Then, connected component analysis (CCA) is implemented to the binary image for character segmentation where the pixels get connected in an eight-point neighbourhood process. Finally, optical character recognition is implemented for the recognition of the characters. For measuring the performance of this experiment, 300 skewed images of different illumination conditions with various tilt angles have been tested. The results show that proposed method able to achieve accuracy of 96.3% in localizing, 95.4% in segmenting and 94.2% in recognizing the LPs with an average localization time of 0.52s. Korean Society for Internet Information 2018 Article PeerReviewed Arafat, Muhammad Yeasir and Khairuddin, Anis Salwa Mohd and Paramesran, Raveendran (2018) A Vehicular License Plate Recognition Framework For Skewed Images. KSII Transactions on Internet and Information Systems, 12 (11). pp. 5522-5540. ISSN 1976-7277, DOI https://doi.org/10.3837/tiis.2018.11.019 <https://doi.org/10.3837/tiis.2018.11.019>. https://doi.org/10.3837/tiis.2018.11.019 doi:10.3837/tiis.2018.11.019 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Arafat, Muhammad Yeasir Khairuddin, Anis Salwa Mohd Paramesran, Raveendran A Vehicular License Plate Recognition Framework For Skewed Images |
| title | A Vehicular License Plate Recognition Framework For Skewed Images |
| title_full | A Vehicular License Plate Recognition Framework For Skewed Images |
| title_fullStr | A Vehicular License Plate Recognition Framework For Skewed Images |
| title_full_unstemmed | A Vehicular License Plate Recognition Framework For Skewed Images |
| title_short | A Vehicular License Plate Recognition Framework For Skewed Images |
| title_sort | vehicular license plate recognition framework for skewed images |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
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