An OCR based on Machine Learning and Recurrent Neural Nets

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

Music genre Classification with different models fine tuning and performance comparisons

My implementations of different deep learning architectures for text recognition with TensorFlow 2.

Solving CAPTCHAs using Pytorch.

OCR technology to predict labels from handwritten text images.

CRNN PROJECT

chinese characters recognition

use CNN and LSTM to discern scene text, using tensorflow

Machine printed Hangul recognition based on CRNN

Optical character recognition is the translation of handwritten, typewritten, or printed paper into machine editable text by using any scanning device or software. It is a field of research in pattern recognition, machine vision, and artificial intelligence. And each year, this technology helps us free large amounts of physical storage space onc…

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

PyTorch implementation of CRNN for scene text recognition on Synth90k dataset

Epicurus is a Deep OCR Engine which can read English characters, words and texts in documents, real world scenes. It's a light weight model aimed at faster output and general purpose applications.

CRNN (CNN+RNN) for OCR / License Plate Recognition

Speech Emotion Recognition (SER) using CNNs and CRNNs Based on Mel Spectrograms and Mel Frequency Cepstral Coefficients (MFCCs)

Using DCGAN and cGAN to generate hyper-realistic terrain

Convolutional recurrent network in pytorch

IAM Database: https://fki.tic.heia-fr.ch/databases/download-the-iam-handwriting-database