Novel Vehicle Number Plate Segmentation Technique in Indian Conditions

Background/Objectives:In this paper a novel number plate segmentation algorithm is proposed, which can be further exploited to do character segmentation and character recognition. Methods/Statistical Analysis: The scope of this research is to segment vehicle number plate from the captured vehicle image. To accomplish this task image binarization is used as it translates any color image into black and white image. The image binarization process is carried based on the statistical formula mentioned in this paper. The binarized image is further processed to remove unwanted area and exactly segment vehicle number plate. Findings: The algorithm provides overall accuracy of ~97.67% with the average processing time of 134ms for 250 images captured during timings in day and night. The system works well in different illumination conditions. Conclusion/Improvements: The overall accuracy can be further improved by modifying the parameters of image binarization process.