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.
I’m writing notes for myself and I can read them. When I’m writing for someone else (which rarely happens for handwritten notes) I take the time and effort to write nicer.
Also, I specifically didn’t write the example carefully because the use case for me would specifically be handwritten notes I made for myself.
So ideally there would be a way to train an AI on one’s own particular handwriting? (Not sarcasm or rudely)