Main Article Content
Intelligent transport systems play an important role in supporting smart cities because of their promising applications in various areas, such as electronic toll collection, highway surveillance, urban logistics and traffic management. One of the key components of intelligent transport systems is vehicle license plate recognition, which enables the identification of each vehicle by recognizing the characters on its license plate through various image processing and computer vision techniques. Vehicle license plate recognition typically consists of smoothing image using median filter, White pixel detection (WPD), and number plate extraction. In this work an efficient White pixel detection method has been describing a license plates in various luminance conditions. Mostly we will focus on vehicle number plate detection along with the white pixel detection method we will use median filters and Line density filters to increase the detection accuracy for number plate. Subjective and objective quality assessment parameters will give us robustness of proposed work compared to state of License Plate Detection(LPD) techniques.
How to Cite
, S. S. S. D. H. (2018). An Efficient Method for Number Plate Detection and Extraction Using White Pixel Detection (WPD) Method. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(1), 135–141. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/980