Extracts texts from images of post it notes!

A simple OCR application using Python, OpenCV, and Keras. test_handwriting.py file recognizes handwritten text and returns an output.png image with the text highlighted.

Experimental implementation of an automated checking application using Handwritten Text Recognition using CNN, Text Summarisation using TextRank and keyword matching.

Handwritten Text Recognition (HTR) system implemented with TensorFlow

Handwriting Recognition Project

This project is a comprehensive solution for recognizing handwritten digits and text from images, with functionalities for training, testing, and usage, making it suitable for tasks like cheque amount verification and other handwritten text recognition applications.

Touch interface-STM3F429I-D (CubeMX-AI)based handwritten digit and text recognizer using Deep Learning

A customized Convolutional Neural Network (CNN) based Offline Handwritten Bengali District Names Recognizer.

Tuning, training, and testing Keras models for CRNN handwritten text digitization.

Handwritten Text Recognition (HTR) of Swedish handwritten text with TensorFlow and Keras.

Solution of NTO AI. The task is to translate students handwritten text in their notebooks into digital text.

A piece of software to recognize handwritten capital characters.

A program has been developed to automate the process of extracting text and data from handwritten invoices, thereby improving efficiency and reducing errors associated with manual data entry, thereby benefiting many businesses.

CV- Handwritten Text extractor API, using HuggingFace OCR model by MicroSoft

Handwritten Text Recognition (HTR) System over a Streamlit Web Application

This repository contains the projects completed during Artificial Intelligence Internship at Tech-A-Intern Internship Program.

This repository contains ipynb files showing problem solving steps for a "Handwitten Character Recognition" problem. This was done in fulfillment of the MIDAS@IIITD Summer Internship/RA Task 2021.

Recognition of handwritten and machine characters is an emerging area of research and finds extensive applications everywhere. Our application accepts an image/document in the form of a .png extension and pre-processes the manually written text to neatly segment it into parts. After segmentation, the recognition of simple isolated characters or …

Handwritten Labels Extraction and Tagging on Botanical Images