• Renigunta Akshit Kumar
• Thumu Bhuvan Patel
• K Mohan
• G Lohitha

This paper presents the implementation of image to text conversion. The paper describes various steps required to extract text from any image file (jpeg/png) and create a separate text file consisting of information extracted from image file. It considers the shortcomings of various image processing applications available and works on overcoming them by employing variable level of image processing and filtration. The CV2 OpenCV library using Python language is used for image processing and Tessaract is used for text extraction from the processed image. The variable level of image processing ensures that different images get different levels of treatment in order to produce optimized text results.

"Vehicle Tracking System Using License Plate Detection and Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.c79-c83, April-2024, Available :http://www.jetir.org/papers/JETIR2404213.pdf

"Vehicle Tracking System Using License Plate Detection and Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppc79-c83, April-2024, Available at : http://www.jetir.org/papers/JETIR2404213.pdf