车牌号分割新方法【A Novel Approach for License Plate Character Segmentation】
文件大小:
311k
资源说明:Character segmentation is an important step in license
plate recognition (LPR) system. In this paper, a novel
character segmentation method of license plate is
presented combining Laplacian Transformation, region
growing and prior knowledge of license plate. In the
proposed methodology, image preprocessing is
performed to the license plate at first, and the character
region in license plate is enhanced in the following.
Then the edges of the characters are detected by using
Laplacian Transformation and the candidate regions of
characters are located by using region growing
algorithm. And the character segmentation regions are
determined by using prior knowledge of license plate.
Finally the characters are segmented from original
license plate and binarization is performed to the
characters, which can make it more efficient for
character recognition in OCR system. The proposed
method in character segmentation is fast and accurate,
and is tolerant to license plate with deformations,
rotations, plate frame, rivet, the space mark, and so on.
And promising results have been obtained in
experiments on Chinese license plates.
本源码包内暂不包含可直接显示的源代码文件,请下载源码包。