Optimization of ANPR algorithm on android mobile phone
Since the past decades, many researchers proposed their methods to recognize the vehicle number plate. One of the methods is template matching which is executed in the optical character recognition (OCR) step of the automatic number plate recognition (ANPR) system. In previous researches, many resea...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/34951/1/Abdul_ANPR_v3.pdf |
| _version_ | 1825647826320752640 |
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| author | Mutholib, Abdul Gunawan, Teddy Surya Chebil, Jalel Kartiwi, Mira |
| author_facet | Mutholib, Abdul Gunawan, Teddy Surya Chebil, Jalel Kartiwi, Mira |
| author_sort | Mutholib, Abdul |
| collection | IIUM |
| description | Since the past decades, many researchers proposed their methods to recognize the vehicle number plate. One of the methods is template matching which is executed in the optical character recognition (OCR) step of the automatic number plate recognition (ANPR) system. In previous researches, many researchers are used a high end desktop PC and high resolution camera to implement the ANPR system. In this paper, the optimization of ANPR algorithm on limited hardware of Android mobile phone is presented. First, various steps to optimize ANPR and OCR block using template matching are described. Our proposed algorithm was based on Tesseract library. For comparison purpose, the template matching based OCR will be compared to Artificial Neural Network (ANN) based OCR. The optimization on ANPR was performed as currently there is no image processing tool available on the standard Android mobile phone. By optimization of ANPR, many advantages could be achieved, such as higher recognition accuracy, less resource consumption, and less computational complexity. Results on 30 images showed that the recognition rate was 97.46% while the processing time was 1.13. |
| first_indexed | 2024-03-05T23:23:19Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:34951 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T23:23:19Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:349512016-05-12T01:30:32Z http://irep.iium.edu.my/34951/ Optimization of ANPR algorithm on android mobile phone Mutholib, Abdul Gunawan, Teddy Surya Chebil, Jalel Kartiwi, Mira TK Electrical engineering. Electronics Nuclear engineering Since the past decades, many researchers proposed their methods to recognize the vehicle number plate. One of the methods is template matching which is executed in the optical character recognition (OCR) step of the automatic number plate recognition (ANPR) system. In previous researches, many researchers are used a high end desktop PC and high resolution camera to implement the ANPR system. In this paper, the optimization of ANPR algorithm on limited hardware of Android mobile phone is presented. First, various steps to optimize ANPR and OCR block using template matching are described. Our proposed algorithm was based on Tesseract library. For comparison purpose, the template matching based OCR will be compared to Artificial Neural Network (ANN) based OCR. The optimization on ANPR was performed as currently there is no image processing tool available on the standard Android mobile phone. By optimization of ANPR, many advantages could be achieved, such as higher recognition accuracy, less resource consumption, and less computational complexity. Results on 30 images showed that the recognition rate was 97.46% while the processing time was 1.13. 2013-11-27 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/34951/1/Abdul_ANPR_v3.pdf Mutholib, Abdul and Gunawan, Teddy Surya and Chebil, Jalel and Kartiwi, Mira (2013) Optimization of ANPR algorithm on android mobile phone. In: 2013 International Conference on Smart Sensor, Measurement, and Applications, 26-27 November 2013, Kuala Lumpur, Malaysia. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6717950 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mutholib, Abdul Gunawan, Teddy Surya Chebil, Jalel Kartiwi, Mira Optimization of ANPR algorithm on android mobile phone |
| title | Optimization of ANPR algorithm on android mobile phone |
| title_full | Optimization of ANPR algorithm on android mobile phone |
| title_fullStr | Optimization of ANPR algorithm on android mobile phone |
| title_full_unstemmed | Optimization of ANPR algorithm on android mobile phone |
| title_short | Optimization of ANPR algorithm on android mobile phone |
| title_sort | optimization of anpr algorithm on android mobile phone |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://irep.iium.edu.my/34951/1/Abdul_ANPR_v3.pdf |
| work_keys_str_mv | AT mutholibabdul optimizationofanpralgorithmonandroidmobilephone AT gunawanteddysurya optimizationofanpralgorithmonandroidmobilephone AT chebiljalel optimizationofanpralgorithmonandroidmobilephone AT kartiwimira optimizationofanpralgorithmonandroidmobilephone |