I'm new to ML world and been reading about ML and TensorFlow. My goal is to read the following example in real time with Android phone:
So I tried firebase ML OCR and it works really good, it reads the complete value but it does not read the decimal point and also reads a lot of the surrounding text. So my idea is that I should first detect black and red bounding boxes and then detect individual numbers inside
- is this the right way to go? How would I accomplish this?
- Also how do you use two kinds of a model, one to extract a part of the image (black and red bounding areas) and then pass them to OCR model?
- What about last digit which can always be in between two numbers (example: 1 and 2)?