Offline handwritten mathematical expression recognition via stroke extraction for Android
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Updated
Sep 7, 2020 - Java
Offline handwritten mathematical expression recognition via stroke extraction for Android
handwritten writer identification using classical machine learning pattern recognition techniques
✨Using Neural Network and Convolution Neural Network to realize simple handwritten recognition, and using OpenCV to recognition. (利用 NN, CNN 等 实现简单的手写数字识别, 并使用 OpenCV 进行实时的检测)
A web app that is made to scan handwritten text and convert it to typed one and then performs tasks like translation and summarization of that text and this app has mode which let you find details of any medicine just by scanning it.
PyTorch Implementation of Fast Fourier Convolution-RNN with CTC loss for Handwritten Recognition
Repo containing the AI projects which was done during the Teach-A-Intern's 30 days internship program.
Optical Music Recognition dataset for handwritten annotations in music scores of the long 19th century.
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.
HANDWRITTEN MATHEMATICAL EQUATION SOLVER
This project implements a Handwritten Recognition System using the IAM Dataset and a Convolutional Neural Network (CNN) model
This is a project made in Flutter for kana recognition by drawing the user's strokes using Tensorflow to recognize the drawn kana.
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