The paper researches a new way to recognize the car plate number by forced integrated K-means clustering center.We can get K-means clustering center by statistics and analysis in HLS color space,then recognize the car plate number by morphology,BP neural net technologies.This methodology has been verified and it has turned out to be better than the way based on the image of two-value and gray processing.It can recognize the car number effectively under the complex circumstances