Research on Automatic Identification Technology of the Car Key Tooth Code Based on the Spectral Clustering Method

This paper proposes a car key tooth code automatic identification method based on the spectral clustering method to tackle the problem of the current low efficiency and high costs of artificial and mechanical identification methods of the car key tooth code. By using the general auto key fixture, the tooth height of different keys is transformed into to an easily identifiable single detection chip height, which is associated with the contour of the car key image. The car key tooth code is obtainedby calculating the vertical coordinate of the extreme points of the contour line in the car key image, which are processed in accordance with the following method. Firstly, the key tooth edge is obtained with the spectral clustering classification method and the extreme points at the edge of the toothare determined with the minimum and maximum method. Secondly, the relative heights of the extreme points to the key's horizontal edge are determined and the corresponding key tooth code is obtained. Lastly the effectiveness of the method proposed in this paper is verified by a car key image.