BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate Recognition
The development of the Automatic License Plate Recognition (ALPR) system has received much attention for the English license plate. However, despite being the sixth-largest population around the world, no significant progress can be tracked in the Bengali language countries or states for the ALPR sy...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005622000789 |
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| author | Md. Saif Hassan Onim Hussain Nyeem Koushik Roy Mahmudul Hasan Abtahi Ishmam Md. Akiful Hoque Akif Tareque Bashar Ovi |
| author_facet | Md. Saif Hassan Onim Hussain Nyeem Koushik Roy Mahmudul Hasan Abtahi Ishmam Md. Akiful Hoque Akif Tareque Bashar Ovi |
| author_sort | Md. Saif Hassan Onim |
| collection | DOAJ |
| description | The development of the Automatic License Plate Recognition (ALPR) system has received much attention for the English license plate. However, despite being the sixth-largest population around the world, no significant progress can be tracked in the Bengali language countries or states for the ALPR system addressing their more alarming traffic management with inadequate road-safety measures. This paper reports a computationally efficient and reasonably accurate Automatic License Plate Recognition (ALPR) system for Bengali characters with a new end-to-end DNN model that we call Bengali License Plate Network (BLPnet). The cascaded architecture for detecting vehicle regions before vehicle license plate (VLP) is proposed to eliminate false positives, resulting in higher detection accuracy of VLP. Besides, a lower set of trainable parameters is considered for reducing the computational cost, making the system faster and more compatible for a real-time application. With a Convolutional Neural Network (CNN) based new Bengali OCR engine and word-mapping process, the model is characters-rotation invariant, and can readily extract, detect and output the complete license plate number of a vehicle. The model feeding with 17 frames per second (fps) of real-time video footage can detect a vehicle with the Mean Squared Error (MSE) of 0.0152, and the mean license-plate-character recognition accuracy of 95%. While compared to the other models, an improvement of 5% and 20% were recorded for the BLPnet over the prominent YOLO-based ALPR model and the Tesseract model for the number-plate detection accuracy and time requirement, respectively. |
| first_indexed | 2024-04-11T10:57:13Z |
| format | Article |
| id | doaj.art-4d10b88d0159460caf07cf8da551f922 |
| institution | Directory Open Access Journal |
| issn | 2590-0056 |
| language | English |
| last_indexed | 2024-04-11T10:57:13Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Array |
| spelling | doaj.art-4d10b88d0159460caf07cf8da551f9222022-12-22T04:28:43ZengElsevierArray2590-00562022-09-0115100244BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate RecognitionMd. Saif Hassan Onim0Hussain Nyeem1Koushik Roy2Mahmudul Hasan3Abtahi Ishmam4Md. Akiful Hoque Akif5Tareque Bashar Ovi6Department of EECE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, 1216, BangladeshCorresponding author.; Department of EECE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, 1216, BangladeshDepartment of EECE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, 1216, BangladeshDepartment of EECE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, 1216, BangladeshDepartment of EECE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, 1216, BangladeshDepartment of EECE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, 1216, BangladeshDepartment of EECE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, 1216, BangladeshThe development of the Automatic License Plate Recognition (ALPR) system has received much attention for the English license plate. However, despite being the sixth-largest population around the world, no significant progress can be tracked in the Bengali language countries or states for the ALPR system addressing their more alarming traffic management with inadequate road-safety measures. This paper reports a computationally efficient and reasonably accurate Automatic License Plate Recognition (ALPR) system for Bengali characters with a new end-to-end DNN model that we call Bengali License Plate Network (BLPnet). The cascaded architecture for detecting vehicle regions before vehicle license plate (VLP) is proposed to eliminate false positives, resulting in higher detection accuracy of VLP. Besides, a lower set of trainable parameters is considered for reducing the computational cost, making the system faster and more compatible for a real-time application. With a Convolutional Neural Network (CNN) based new Bengali OCR engine and word-mapping process, the model is characters-rotation invariant, and can readily extract, detect and output the complete license plate number of a vehicle. The model feeding with 17 frames per second (fps) of real-time video footage can detect a vehicle with the Mean Squared Error (MSE) of 0.0152, and the mean license-plate-character recognition accuracy of 95%. While compared to the other models, an improvement of 5% and 20% were recorded for the BLPnet over the prominent YOLO-based ALPR model and the Tesseract model for the number-plate detection accuracy and time requirement, respectively.http://www.sciencedirect.com/science/article/pii/S2590005622000789ALPRCNNINCEPTION-V3License plate detectionNASNet MobileOCR |
| spellingShingle | Md. Saif Hassan Onim Hussain Nyeem Koushik Roy Mahmudul Hasan Abtahi Ishmam Md. Akiful Hoque Akif Tareque Bashar Ovi BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate Recognition Array ALPR CNN INCEPTION-V3 License plate detection NASNet Mobile OCR |
| title | BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate Recognition |
| title_full | BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate Recognition |
| title_fullStr | BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate Recognition |
| title_full_unstemmed | BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate Recognition |
| title_short | BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate Recognition |
| title_sort | blpnet a new dnn model and bengali ocr engine for automatic licence plate recognition |
| topic | ALPR CNN INCEPTION-V3 License plate detection NASNet Mobile OCR |
| url | http://www.sciencedirect.com/science/article/pii/S2590005622000789 |
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