How do I train my own OCR?

Building your own Attention OCR model

1. Gather annotated training data.
2. Get crops for each frame of each video where the number plates are.
3. Generate tfrecords for all the cropped files.
4. Place them in models/research/attention_ocr/python/datasets as required (in the FSNS dataset format).
5. Train the model using Attention OCR.

What are the steps in OCR?

6 Steps to Build an OCR Engine

1. Image Acquisition. The first step is to acquire images of paper documents with the help of optical scanners.
2. Preprocessing. The goal of preprocessing is to make raw data usable by computers.
3. Segmentation.
4. Feature Extraction.
5. Training a Neural Network.
6. Post-Processing.

Is OCR AI or ML?

What to know about ML OCR. Machine Learning OCR uses AI technology reduce some of OCR’s shortcoming. ML is used to help preprocess documents so the OCR can handle more complexity. But templates are still used, and it remains limited in the document complexity it can handle.

What is Tesseract OCR Python?

Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and “read” the text embedded in images. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file.

What is OCR and how does it work?

A: OCR stands for Optical Character Recognition but OCR is really a process of taking an image and converting it into text so that it can be edited and searched. Most scanners now come with OCR software, which will allow you to scan a document straight to text, Word, or PDF.

How does OCR do its work?

How Does OCR Work When a printed or handwritten page is scanned, it is saved as a bit-mapped file of TIF format. We can read this image when it is displayed on the screen. However, to the computer, it is only a series of white and black dots. It looks at every line of the image and determines if the series of dots match a particular number or letter .

What are the functions of OCR?

OCR is being used by libraries to digitize and preserve their holdings. OCR is also used to process checks and credit card slips and sort the mail. Billions of magazines and letters are sorted every day by OCR machines, considerably speeding up mail delivery.

What are the disadvantages of an OCR?

The Disadvantages of OCR Limited Documents. OCR works best with good quality typed documents. Accuracy. No OCR software is 100 percent accurate. Work-Arounds. OCR has difficulty differentiating between characters, such as the number zero and a capital “O.” To work around this, a special OCR font can be used, such as writing Additional Work.