It seems like with the current progress in ML models, doing OCR should be an easy task. After all, recognizing handwritten numbers was one of the prime benchmarks for image recognition (MNIST was released in 1994).
Yet, when I try to OCR any of my handwritten notes all I ever get is a jumbled mess of nonsense. Am I missing something, is my handwriting really that atrocious or is it the models?
Here’s a quick example, a random passage from a scientific article:
I tried EasyOCR, Tesseract, PPOCR and a few online tools. Only PPOCR was able to correctly identify the numbers and the words “J.” and “Chem.”. The rest is just a random mess of characters.
They aren’t just general purpose tools like tesseract are, they can be additionally trained to recognize handwritten text to become much-much better at their task. For example my kobo reader has builtin offline ocr and it works incredible, almost too good.
Also I can’t recognize half of the text as well. 😄