Character Recognition and Extraction using OpenCV and Pytesseract

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Character Recognition and Extraction using OpenCV and Pytesseract

Karnati Thrinadh Reddy, Boini Vinay Kumar, Musaloju Vishal, CVP Supradeepthi

dept. Electronics and Communication Engineering

Institute of Aeronautical Engineering

Hyderabad, India

Abstract—This paper introduces an optimized framework for real-time Optical Character Recognition (OCR) and video-to- text conversion using OpenCV and Tesseract, by implementing adaptive preprocessing techniques and efficient frame handling strategies, the system achieves high text detection accuracy while significantly reducing processing time. Additionally, a multi- threaded audio transcription process enhances performance for converting video content into text. The proposed approach is well- suited for applications requiring real-time text extraction from multimedia sources, such as automated document processing and video surveillance..

Index Terms—OCR, Pytesseract, Cv2

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