ETL pipeline to parse character image from pictures and create dataset of English Characters
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Updated
Mar 31, 2018 - Python
ETL pipeline to parse character image from pictures and create dataset of English Characters
A sample code using tesseract-ocr .NET Core for optical character recognition. The result is formatted as HTML.
Detects text in the environment and translate it to any language specified
A streamlit application that uses optical character recognition (OCR) to convert tables in images to downloadable dataframes (cvs and excel)
Computer Vision & Internet of Things project (Level - Beginner)
Implement an object detector which identifies the classes of the objects in an image or video. OR ● Character detector which extracts printed or handwritten text from an image or video. ● Below resources are just for references you can use any library/approach to achieve the goal. ● Resources: link1 link2 ● Task submission: 1. Host the code on G…
Telegram bot that uses several Microsoft Azure service to help users stay up to date on topics of interest and recognise clickbait articles by their title.
Title: Build and deploy web service to extract the information from invoices or billing material using Microsoft Azure and REST API service. (Explanation: It uses Microsoft Azure Optical Character Recognition Technique and other Microsoft Azure techniques to extract information from invoices and other billing materials to solve the customer's pr…
Cloud based OCR for Statutory Forms and Documents
497-Images-English-Invoice-Data
Perform Optical Character Recognition (OCR) on a scanned PDF file containing Arabic text and output a searchable PDF
This project proposes a method to identify vehicle license plates in Vietnam using model YOLOv8 to detect license plates and PaddleOCR to extract information on license plates.
Augmentedly written text convertor
UC3M License Plate detection and recognition dataset
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.
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