CRNN/LPRNet/STNet + CTC + CCPD
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Updated
Sep 21, 2024 - Python
CRNN/LPRNet/STNet + CTC + CCPD
Handwritten text recognition using CNN with EMNIST dataset
ann-project / Team 5 / 24-Spring @ Soongsil University
This iOS app allows users to draw characters and numbers on a drawing view, and a machine learning model will recognize the input, displaying the results just below the drawing area. The underlying model was created as part of the Intro to Machine Learning course and converted from PyTorch to CoreML using coremltools
Convolutional Neural Network for classifying drawn alphanumeric characters using EMNIST/MNIST datasets, with a Vue.js Canvas UI, as a PWA.
Java application that predicts the digit with EMNIST formatted images.
Handwritten character recognition on EMNIST ByClass using Convolutional Neural Networks with PyTorch.
Software to recognize handwriting
Codes regarding the paper: Handwritten Image Detection using DCGAN with SIFT and ORB Optical Features
A study of the problem of overfitting in deep neural networks, how it can be detected, and prevented using the EMNIST dataset. This was done by performing experiments with depth and width, dropout, L1 & L2 regularization, and Maxout networks.
User handwriting recognition app using a CNN trained on the EMNIST ByClass dataset
A neural network project written in Rust.
Translator from KMNIST encoded pages to readable EMNIST, based on unsupervised learning algorithms.
A Convolutional Neural Network for EMNIST dataset
Python GUI for handwriting recognition CNN with 80% accuracy trained on the EMNIST dataset with detailed documentation included.
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