Paper Title
Automatic License Plate Recognition

This paper introduces the concept of automatic license plate recognition. The traditional manual monitoring of the license plate has become very difficult due to the huge increase in the number of vehicles day by day. Thus automatic plate detection has become a necessity. This technology can be used for various applications including traffic monitoring, tracking stolen cars, managing parking toll, red-light violation enforcement, borders and customs checkpoints. One of the most important applications of this technology is at the toll plazas. This can help in making the process of toll collection easy, cashless and fast. This paper contains the algorithm for recognition of the number plate using Morphological operation, Thresholding operation, Edge detection method, Bounding box analysis for number plate extraction, character separation using Segmentation and character recognition using Template method and Feature extraction