SMART PARKING SYSTEM BASED ON OPTICAL CHARACTER RECOGNITION

In this paper, the presented methodology is effectively able to fee generation best fit and optimal parking area to the vehicle based on its QR code. It can be able extract features like number plate. It performs machine learning operations like Haar cascade to detect dimensions of car. Future work the Extracted feature can likewise be utilized to prepare neural system for higher precision. In acknowledgment, as well much variety in character geometry prompts misclassification. So as to reduce these, classifier is should be trained with various character textual styles which was detected from individual training data set .In Future, Android based application can be developed for polling the parking status from the sensor networks deployed in parking lots, the reservation status is affected by the change of physical parking status. The drivers are allowed to access the server on their Android smart phones