Accuracy Enhancement for License Plate Recognition

Lihong Zheng, He Xiangjian, Bijan Samali, Laurence T. Yang

Research output: Book chapter/Published conference paperConference paperpeer-review

21 Citations (Scopus)


Automatic License Plate Recognition is useful for real time traffic management and surveillance. License plate recognition usually contains two steps, namely license plate detection/localization and character recognition. Recognizing characters in a license plate is a very difficult task due to poor illumination conditions and rapid motion of vehicles. When using an OCR for character recognition, it is crucial to correctly remove the license plate boundaries after the step for license plate detection. No matter which OCRs are used, the recognition accuracy will be significantly reduced if the boundaries are not properly removed. This paper presents an efficient algorithm for non character area removal. The algorithm is based on the license plates detected using an AdaBoost algorithm. Then it follows the steps of character height estimation, character width estimation, segmentation and block identification. The algorithm is efficient and can be applied in real-time applications. The experiments are performed using OCR software for character recognition. It is shown that much higher recognition accuracy is obtained by gradually removing the license plate boundaries.
Original languageEnglish
Title of host publicationProceedings of the 10th IEEE International Conference on Computer and Information Technology
Subtitle of host publicationCIT 2010
Place of PublicationUK
Number of pages6
ISBN (Electronic)9780769541082
Publication statusPublished - 2010
Event10th IEEE International Conference on Computer and Information Technology: CIT 2010 - University of Bradford, Bradford, United Kingdom
Duration: 29 Jun 201001 Jul 2010 (Front page of proceedings)


Conference10th IEEE International Conference on Computer and Information Technology
Country/TerritoryUnited Kingdom
Internet address


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