License plate detection and recognition using vertical based edge detection algorithm and radial basis function neural network

Abstract

Objectives: The projected aspects in this paper constitute the powerful means of a well-organized and an automated exposure and perception of license plates. Methods: This procedure exhibits an esteemed Vertical Based Edge Detection Algorithm and a Radial Basis Function Neural Network Algorithm for the revelation and disclosure of license plates. After the image procurement, the entity starts with certain primitive pre-processing steps. Consequently, the vertical edges are disclosed by adopting Vertical Edge Detection Algorithm and the number plates are identified and separated using the Structured Component Analysis. Lastly, the characters inside the License Plates are disjointed and discovered by applying Connected Component Labeling and Radial Basis Function Neural Network Algorithm. Results: The intended technique pinpoints the vehicle number plates and distinguishes the characters in 90.76% photographs fruitfully. Application: Focuses on the Intelligent Transportation System, which strengthens shipping capacity, security and flexibility.