A New License Plate Character Segmentation Algorithm Based on Priori Knowledge Constraints

The license plate character segmentation is one of the three key technologies of the automatic license plate recognition system and the character segmentation is the foundation of the character recognition. The large amount of calculations and a long time for processing are the drawbacks of traditional character segmentation algorithm based on the connected domain character segmentation algorithm，so this paper presents an improved algorithm，which makes full use of priori knowledge for character initial segmentation，and then realizes complete character segmentation based on the connected domain, mean while, this paper improves the traditional iteration binarization threshold algorithm by the priori knowledge，reducing iteration times. The experimental results show that the character segmentation algorithm provided by this paper greatly cuts down the processing time and meets real time requirement under the premise of accurate extraction of license plate character.