• Yashika Dhanwani
• M. P. Borawake
• Rajashri Kunale
• Namrata Vyavahare
• Priyanka Vyavahare

Abstract—This paper deals with the image processing techniques that are applied at different stages which are pre-processing, filtering, feature extraction, segmentation and recognition in such way to remove the noise of the image, to enhance the image quality and to expedite the computing process by converting the characters in the image into respective text. The image of the vehicle license plate is captured and processed to produce a textual output for further processing. License plate recognition can be better solved by solutions with settings oriented for different applications. Numerous techniques have been developed for LPR in still images or video sequences, and the purpose of this project is to assess and implement them as a real-world solution. This Project aims at making the databases obtained available for usage in an application for a parking system where the detected License plate number is matched with the pre-existing user information. LPR technology for vehicles fits any sector where safety and efficiency in license plate recognition is required.

Optical character recognition (OCR), image processing, License plate recognition (LPR), Segmentation, pre-processing, filtering, feature extraction.

"License Plate Recognition Based Mobile Application For Parking Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.o656-o660, May-2023, Available :http://www.jetir.org/papers/JETIR2305F85.pdf

"License Plate Recognition Based Mobile Application For Parking Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppo656-o660, May-2023, Available at : http://www.jetir.org/papers/JETIR2305F85.pdf