Automatic car plate number recognition system
In this report, different methods of license plate detection are considered and studied. These methods would not be implemented in an Automatic Number Plate Recognition (ANPR) system. However, the methods discussed and proposed here are practical solutions for license plate dete...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/10356/50178 |
| _version_ | 1811691950782283776 |
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| author | Lim, Hui Zhong. |
| author2 | Ong Keng Sian, Vincent |
| author_facet | Ong Keng Sian, Vincent Lim, Hui Zhong. |
| author_sort | Lim, Hui Zhong. |
| collection | NTU |
| description | In this report, different methods of license plate detection are considered and studied.
These methods would not be implemented in an Automatic Number Plate
Recognition (ANPR) system. However, the methods discussed and proposed here are
practical solutions for license plate detection and extraction. The Automatic Number
Plate Recognition system would identify the position of a vehicle’s license plate. The
license plates are identified irrespective of their colour as an edge detector is used to
find the left and right edges of the plate and extract the region between them. Low
quality images due to severe illumination conditions, viewpoint, vehicle motion,
complex background and other factors are some of the usual problems encountered
in identifying the car plate region. In order to alleviate these problems, different
image enhancement methods are proposed, using intensity variance, edge density and
gray level slicing. The aim is to increase contrast of plate-like regions to avoid
missing plate location especially in poor quality images. Furthermore, a complex
matching filter is designed to detect candidate regions as license plate. As the
filtering procedure is simple, this approach can be used for real-time applications.
The proposed methods and algorithm would be for the most important part of ANPR
system which is the license plate detection and extraction. |
| first_indexed | 2024-10-01T06:28:02Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/50178 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:28:02Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | ntu-10356/501782023-07-07T15:51:16Z Automatic car plate number recognition system Lim, Hui Zhong. Ong Keng Sian, Vincent School of Electrical and Electronic Engineering A*STAR SIMTech Jiang Ting Ying DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering In this report, different methods of license plate detection are considered and studied. These methods would not be implemented in an Automatic Number Plate Recognition (ANPR) system. However, the methods discussed and proposed here are practical solutions for license plate detection and extraction. The Automatic Number Plate Recognition system would identify the position of a vehicle’s license plate. The license plates are identified irrespective of their colour as an edge detector is used to find the left and right edges of the plate and extract the region between them. Low quality images due to severe illumination conditions, viewpoint, vehicle motion, complex background and other factors are some of the usual problems encountered in identifying the car plate region. In order to alleviate these problems, different image enhancement methods are proposed, using intensity variance, edge density and gray level slicing. The aim is to increase contrast of plate-like regions to avoid missing plate location especially in poor quality images. Furthermore, a complex matching filter is designed to detect candidate regions as license plate. As the filtering procedure is simple, this approach can be used for real-time applications. The proposed methods and algorithm would be for the most important part of ANPR system which is the license plate detection and extraction. Bachelor of Engineering 2012-05-30T08:23:49Z 2012-05-30T08:23:49Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50178 en Nanyang Technological University 52 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Lim, Hui Zhong. Automatic car plate number recognition system |
| title | Automatic car plate number recognition system |
| title_full | Automatic car plate number recognition system |
| title_fullStr | Automatic car plate number recognition system |
| title_full_unstemmed | Automatic car plate number recognition system |
| title_short | Automatic car plate number recognition system |
| title_sort | automatic car plate number recognition system |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering |
| url | http://hdl.handle.net/10356/50178 |
| work_keys_str_mv | AT limhuizhong automaticcarplatenumberrecognitionsystem |