Prerequisite :
You must have python 3.7 or more installed on your system.
You must have Spyder, jupyter notebook or pycharm installed on your system. Spyder or jupyter notebook come up with anaconda. you just need to launch them after installing anaconda.
If you work on a colab no need to install python or Any other IDE, you need to just sign in with google colab.
Skilled required:
Python programming language
Computer vision
Deep learning
What you’ll learn
How to read the image data
How to build the object character recognition model.
Problem Statement or Description:
OCR Optical Character Recognition model allows you to extract the printed text from the image. In this project we used pytesseract library to build the ocr model which is able to extract the text from the image.
Key highlights of projects or Essence
This project is about OCR Optical Character Recognition model Using Tesseract
In this project show you how to detect the text in the image and be able to extract the text from the image.
Packages and module used :
pytesseract
Cv2
Matplotlib
Numpy
Recommended projects:
Face mask detection
Image classification with CIFAR-10 Dataset
Dogs breed identification
Traffic sign classification
Breast cancer detection
Skills:
Data Science, Machine Learning, pytesseract, scikit-learn, pandas, Cv2,Matplotlib
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