Segmentation of Characters on Car License Plates

Xiangjian He, Lihong Zheng, Qiang Wu, Wenjing Jia, Bijan Samali, Marimuthu Palaniswami

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

19 Citations (Scopus)
2078 Downloads (Pure)


License plate recognition usually contains three steps, namely license plate detection/localization, character segmentation and character recognition. When reading characters on a license plate one by one after license plate detection step, it is crucial to accurately segment the characters. The segmentation step may be affected by many factors such as license plate boundaries (frames). The recognition accuracy will be significantly reduced if the characters are not properly segmented. This paper presents an efficient algorithm for character segmentation on a license plate. The algorithm follows the step that detects the license plates using an AdaBoost algorithm. It is based on an efficient and accurate skew and slant correction of license plates, and works together with boundary (frame) removal of license plates. The algorithm is efficient and can be applied in real-time applications. The experiments are performed to show the accuracy of segmentation.
Original languageEnglish
Title of host publicationIEEE Workshop on Multimedia Signal Processing (MMSP)
Place of PublicationAustralia
Number of pages4
ISBN (Electronic)9781424422951
Publication statusPublished - 2008
EventMMSP 2008: 10th Workshop - Cairns, Qld, Australia
Duration: 08 Oct 200810 Oct 2008


WorkshopMMSP 2008: 10th Workshop


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