Abstract: This paper addresses the recognition of multiple license plates from an image sequence acquired by a fixed video camera for video surveillance. The segmentation of cars from complex background is done using statistical method integrated with feature matching. Then license plate on each car is located and each single character is segmented. The single character recognition of inclined license plates by PCA and BPNN is also discussed. Experimental results show that using the method discussed, the segmentation and recognition of license plates in complex background can be done effectively.