This paper presents a system framework as an intelligent system for the detection, identification and recognizing vehicle plate numbers violating traffic lights on Nigerian roads using Pattern Recognition as a constructive instrument. Intelligent Transportation System (ITS) is the application of advanced sensor, computer, electronics, and communication technologies and management strategies to improve the safety and efficiency of the surface transportation system. ITS is an important implementation technique for analyzing and handling traffic control management of real time moving vehicles on roads in urban environment. The scientific discipline of machine learning or artificial intelligence with the purposes of classifying data (patterns) into a number of categories or classes is known as Pattern Recognition. The intelligent system uses the Nigerian vehicle license number plates for image processing and character recognition technology in order to identify the vehicle plate number that violates traffic lights automatically through surveillance cameras and intelligent image analytic software. The traffic control management is control by automatic signaling system where coloured lights, i.e. Red, Yellow and Green, are used for interpretation for traffic controlling operations signals. The system uses Pattern Recognition models to isolate the features of the vehicle license plate of each region to be extracted in order to correctly differentiate the identified license plate from other regions. The paper will be highlighting the various pattern recognition models that are suitable for the vehicle license plate number character recognition and pattern database matching.