This repo contains my Optical Character Recognition (OCR) project in Python.
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Updated
Mar 12, 2019 - Jupyter Notebook
This repo contains my Optical Character Recognition (OCR) project in Python.
Three layer perceptron. Generates varied character images from scratch so does not depend on an existing dataset, like MNIST. Can train for an arbitrarily long time due to the open ended nature of the dataset. Contains a basic user interface.
Martins ORC Benchmark
Notes during the learning of OCRmyPDF, a Tesseract based Optical Character Recognition(OCR) software
I attempt to create a model that is able to 'look' at picture of cars and return the text version of their number plate number.
This is a small repository of image parsers in python which would extract the texts in an image. This is being used to extract the texts from invoices and bills. The parsers uses the concepts of OCR.
An Optical Character Reader for extracting text from images and images containing scanned handwritten text.
Ce dépôt est un Projet de Fin d'Etudes réalisé en Licence 3 dans le cadre d'obtention du diplôme de Licence. Il est basé sur l'Intelligence Artificielle plus précisément sur le Deep Learning, et traite de la reconnaissance de caractères manuscrits en imagerie.
A Flutter-based app for optical character recognition.
Apache Solr Document Search and Indexing Analysis with OCR
Making machine learning and computer vision simple.
This Project can be used to perform OCR ( Optical Character Recognition ) on images, videos and from Real Time Camera video Feed.
Dataiku DSS plugin to perform optical character recognition (OCR) using the Tesseract engine.
Transforming images into code at a click. Upload a photo or screenshot and copy the code to your script in seconds!
This repository contains automation solutions that efficiently extracts text from scanned PDF documents with consistent layouts. Utilizing Tesseract OCR engine, the UiPath RPA robot achieves nearly 90% accuracy, streamlining the process and significantly reducing manual workload.
Blind people face several challenges when reading books, but the main problem is a lack of accessibility to printed materials. This can limit the opportunities for blind people to gain knowledge and improve their education and employment prospects. The mobile-based Sinhala book reader for visually impaired individuals can provide a solution.
Handwritten text recognition with TensorFlow
Mobile optical character recognition and language translation using Telerik.com's cordova.js mobile app framework with ocrad.js
WORK IN PROGRESS - Dataiku DSS plugin to extract text data from documents
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