We need to extract text from mobile clicked images of the book. The pages may have hand drawn special characters ( $, % , &, ", ', [ , ] ) between 2 words. All the characters including hand drawn special characters shall be extracted Sample Images attached
We have a Python script with library: - tesseract - tesseract ocr - imutils - numpy - python-opencv - shutil - pytesseract For scan and recognition nameplates with number from people. The system work but it's low accurancy. We search a solution for improve the accurancy, for example: - Recognition people and segmentation?
read ID through ocr in our mobile APP develop the ocr function to be able to read the IDs and populate it in the database so our mobile app can use it The ID card has all the data in two side and we need to read it using the mobile camera, furthermore, it has MRZ capability which allow us to get all the daa this will be better option from reading all the filed
For personal use among friends all running the program. We need a program that controls a lovense hush vibrator increasing the vibration levels as health goes down in Minecraft. Largely for the meme but will likely be streaming on a adult site.
I need talented data science guy who can help me extracting the information from invoice. I have attached document to explain the requirement. Share what OCR project you have done with accuracy level in past. Make a bid with your solution approach