Abstract
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 language | English |
---|---|
Title of host publication | IEEE Workshop on Multimedia Signal Processing (MMSP) |
Place of Publication | Australia |
Publisher | IEEE |
Pages | 399-402 |
Number of pages | 4 |
ISBN (Electronic) | 9781424422951 |
DOIs | |
Publication status | Published - 2008 |
Event | MMSP 2008: 10th Workshop - Cairns, Qld, Australia Duration: 08 Oct 2008 → 10 Oct 2008 |
Workshop
Workshop | MMSP 2008: 10th Workshop |
---|---|
Country/Territory | Australia |
Period | 08/10/08 → 10/10/08 |