Novel and Automatic Parking Inventory System Based on Pattern Recognition and Directional Chain Code
This addresses the need for efficient parking management systems, but it is incremental as it builds on existing license plate recognition methods with specific improvements.
The paper tackled the problem of automatic parking inventory by designing a vehicle license plate recognition system that localizes plates and segments characters using a novel real-time method and a directional chain code technique for character recognition, achieving 100% accuracy in plate localization and 100% correct recognition rate on tested samples.
The objective of this paper is to design an efficient vehicle license plate recognition System and to implement it for automatic parking inventory system. The system detects the vehicle first and then captures the image of the front view of the vehicle. Vehicle license plate is localized and characters are segmented. For finding the place of plate, a novel and real time method is expressed. A new and robust technique based on directional chain code is used for character recognition. The resulting vehicle number is then compared with the available database of all the vehicles so as to come up with information about the vehicle type and to charge entrance cost accordingly. The system is then allowed to open parking barrier for the vehicle and generate entrance cost receipt. The vehicle information (such as entrance time, date, and cost amount) is also stored in the database to maintain the record. The hardware and software integrated system is implemented and a working prototype model is developed. Under the available database, the average accuracy of locating vehicle license plate obtained 100%. Using 70% samples of character for training, we tested our scheme on whole samples and obtained 100% correct recognition rate. Further we tested our character recognition stage on Persian vehicle data set and we achieved 99% correct recognition.