Optical character recognition is the solution to convert text from printed or scanned documents into editable data. This project is aimed at building a Optical character recognition system that ...

Car number plate recognition project using Deep Learning frameworks like Yolo, CNN, and CRNN models ... Segmentation of digits using Image Pre-processing techniques. Trained CNN classifier for ...

The Tesseract Optical character recognition project was originally started by Hewlett Packard in 1980 and then was adopted by Google which maintains the project till date. Over the years the Tesseract ...

One of the important steps in digital transformation is to make all the instrumental devices connected to the cloud. However, replacing the existing analogue meters with the cloud-connected digital ...

Making Optical character recognition (OCR) app using Python and Kivy. This project is based on only image processing without any machine learning or deep learning methods. In order to make the system ...

The project, called Newspaper Navigator, uses optical character recognition algorithms to turn handwritten or text-based characters into a searchable document. Machine learning automates the process.

Whether it’s auto-extracting information from a scanned receipt for an expense report or translating a foreign language using your phone’s camera, optical character recognition (OCR ...

Using Tesseract for digitizing data. If the image is modified to a minimum of 300x300 dpi then the reading of the image becomes easier. The ‘image_to_string()’ and the ‘image_to_data()’ functions work ...