Vehicle license plate recognition based on geometry restraints and multi-feature decision

Jianwei Wu; Zongyue Wang

doi:10.1117/12.655241

3 November 2005 Vehicle license plate recognition based on geometry restraints and multi-feature decision

Jianwei Wu, Zongyue Wang

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60441R (2005) https://doi.org/10.1117/12.655241
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

Vehicle license plate (VLP) recognition is of great importance to many traffic applications. Though researchers have paid much attention to VLP recognition there has not been a fully operational VLP recognition system yet for many reasons. This paper discusses a valid and practical method for vehicle license plate recognition based on geometry restraints and multi-feature decision including statistical and structural features. In general, the VLP recognition includes the following steps: the location of VLP, character segmentation, and character recognition. This paper discusses the three steps in detail. The characters of VLP are always declining caused by many factors, which makes it more difficult to recognize the characters of VLP, therefore geometry restraints such as the general ratio of length and width, the adjacent edges being perpendicular are used for incline correction. Image Moment has been proved to be invariant to translation, rotation and scaling therefore image moment is used as one feature for character recognition. Stroke is the basic element for writing and hence taking it as a feature is helpful to character recognition. Finally we take the image moment, the strokes and the numbers of each stroke for each character image and some other structural features and statistical features as the multi-feature to match each character image with sample character images so that each character image can be recognized by BP neural net. The proposed method combines statistical and structural features for VLP recognition, and the result shows its validity and efficiency.

Citation Download Citation

Jianwei Wu and Zongyue Wang "Vehicle license plate recognition based on geometry restraints and multi-feature decision", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441R (3 November 2005); https://doi.org/10.1117/12.655241

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