Extend OCR for Telugu Voter Lists

@msaadarshadkhan

Hi there, Your "Extend OCR for Telugu Voter Lists" job looks interesting and matches the kind of work I usually do with Python, Machine Learning (ML), OCR, Artificial Intelligence, Image Processing, OpenCV, Natural Language Processing, Text Recognition. I can help you get a clean result and keep you updated at each step. You can see similar projects here: https://www.freelancer.com/u/msaadarshadkhan When would you like to start and do you have any examples of styles you like?

@vivekprataps5

Hi, I’m a professional web development and also in various programming languages with 3 years of experience. I have read your project description and can deliver high-quality results on time. I’m excited to work with you and ensure your satisfaction. Best regards, Vivek pratap singh

@rajahunainweb

Hi There, I understand you're looking to enhance your Python pipeline for extracting text from scanned voter lists in Telugu, aiming for a remarkable 99% character-level accuracy. My approach includes fine-tuning Tesseract and leveraging my experience with OCR, ensuring optimal performance for Indian scripts. I am Raja Hunain, with over 2 years of expertise in Python, Machine Learning, OCR, Artificial Intelligence, Image Processing, OpenCV, and Natural Language Processing. I have successfully worked on OCR-related projects, focusing on accuracy improvements in multilingual environments. Here’s my portfolio: https://www.freelancer.com/u/rajahunainweb I would love to discuss how my skills can contribute to achieving your goals for this project. Thank you, Regards, Raja Hunain

@miljanan1

Hi there, I am excited about the opportunity to work on enhancing your Python pipeline to incorporate Telugu text extraction with high accuracy. With my expertise in OCR and Indian scripts, I am confident in delivering exceptional results for your project. Having successfully completed similar OCR projects in Indian scripts, I understand the complexities involved in achieving accuracy above the 95% mark. My approach involves meticulous training and fine-tuning of Tesseract language data sets, coupled with rigorous validation against diverse test suites to ensure thorough coverage of edge cases. To achieve the target of ≥99% per-character accuracy in Telugu, I will carefully integrate the new language file into the existing codebase while maintaining consistent API and CLI behaviors. I will leverage my experience in working with Python, OpenCV, pytesseract, and custom TensorFlow helpers to optimize processing speed without compromising accuracy. I am eager to collaborate with you on this milestone and provide you with updated code, trained data files, and a detailed technical note outlining the implemented changes and scalability for future language expansions. Let's work together to elevate your pipeline's capabilities to read Telugu text efficiently and accurately. Looking forward to the opportunity to contribute to your project's success. Miljanan