English Handwriting OCR using image processing, tensor flow, cnn, python.
-
Updated
Dec 27, 2019 - Python
English Handwriting OCR using image processing, tensor flow, cnn, python.
Character Classification (digits) using CNN.
Example Django-Python project which contains OCR, PDF to OCR PDF, Text Similarity/Dissimilarity, PDF to PNG converter modules.
Project to implement the Optical Character Recognition technology to extract the invoice details from images of invoice receipts.
Desktop based GUI Document Scanner with OCR
A simple NN word recognizer based on the EMNIST dataset
Simple chatbot for telegram, which converts uploaded image to text using OCR.
GUI to automatically predict a handwritten single digit number using machine learning
This is a small and simple cli ocr script to automatically ocr an image or split a pdf into images and then ocr the images of the pages.
Leverage OpenAI APIs and OCR pytesseract to upload screenshots of prompts (e.g. multiple choice questions, open-ended questions, etc.), identify and parse the questions, and ask chatGPT for an answer.
HackMIT 2023 project. Collaborated with Justin Okorie, Will Reed, Ty Todd
Genshin Impact Artifact Parser
이미지 내 문구 번역 및 원본 스타일 적용 | [인공지능학회] X:AI | 📕 Toy project
Data Extraction from Business Cards using easyOCR | Streamlit GUI | SQL Database
Locally Extract Text from Image using Tesseract
**OpenCV Image Processing Toolkit** is a Python-based image processing tool that integrates OpenCV with real-time code reloading. The application features a Tkinter-based GUI that enables users to load images, apply a variety of OpenCV image processing techniques, and view updates instantly.
This repository contains my solution of "NumtaDB: Bengali Handwritten Digits", a Kaggle contested, hosted by Bengali.AI
While working on a Unet project, I created a program that can be used to add noise, a random grid (textbook) and a random shade of grey , this tool will output (depending on witch variation) combinations of two images the noisy image ut self and the clear one for the first variation (this one gave better results with Unet application) while the …
Add a description, image, and links to the ocr-recognition topic page so that developers can more easily learn about it.
To associate your repository with the ocr-recognition topic, visit your repo's landing page and select "manage topics."