License plate recognition (LPR) plays a significant role throughout this busy world, owing to the rise in vehicles day by day. Stealing of vehicles, breaking traffic rules, coming into restricted space also are increasing linearly, thus to dam this act registration code recognition is intended. Among the fundamental process steps such as detection of number plate, segmentation of characters and recognition of each characters, segmentation plays an important art, since the accuracy of recognition is based on how perfect the segmentation is done. To avoid problems like unwanted illumination, tilt that degrades the segmentation which in turn affects the recognition accuracy numerous algorithms are developed for this work. This project targets a strong technique for localization, segmentation and recognition of the characters within the located plate. Images from still cameras or videos are obtained and regenerated in to grayscale images. The segmentation of grey scale image generated by finding edges for smoothing image is employed to cut back the quantity of connected part and then connected part is calculated. Finally, single character within the registration code is detected. The aim is to indicate that the planned technique achieved high accuracy by optimizing numerous parameters that has higher recognition rate than the standard ways.
Digital Image Processing
It refers to process real world images digitally by a computer. It is a broad topic, which includes studies in physics, mathematics, electrical engineering, computer science. It studies the conceptual foundations of the acquisition and deployment of images and in detail the theoretical and algorithmic processing as such. It also aims to improve the appearance of the images and make them more evident in certain details that you want to note. This chapter doesn’t intend to provide a detailed explanation of digital image processing, but yes, an overview of those concepts and methods more important for the realization of this project.
