Handwritten Text Recognition (HTR) system implemented with TensorFlow (TF) and trained on the IAM off-line HTR dataset. This Neural Network (NN) model recognizes the text contained in the images of segmented words.

Overview

Handwritten-Text-Recognition

Handwritten Text Recognition (HTR) system implemented with TensorFlow (TF) and trained on the IAM off-line HTR dataset. This Neural Network (NN) model recognizes the text contained in the images of segmented words.

Download the zip and unzip it. Place the code in your drive under /content/drive folder.

There is colab notebook named as Handwritten_Text_Recognition.ipynb open that file and run it.

Command Explanation

python main.py Validation character error rate of saved model: 10.624916% Init with stored values from ../model/snapshot-38 Recognized: "little" Probability: 0.96625507

Recognized: "MR." Probability: 0.57650965

Handwritten Text Recognition (HTR) using TensorFlow 2.x

Handwritten Text Recognition (HTR) system implemented using TensorFlow 2.x and trained on the Bentham/IAM/Rimes/Saint Gall/Washington offline HTR data

Arthur Flôr 140 Jun 23, 2022
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.

Handwritten Line Text Recognition using Deep Learning with Tensorflow Description Use Convolutional Recurrent Neural Network to recognize the Handwrit

sushant097 199 Jun 18, 2022
This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.

Handwritten Text Recognition (OCR) with MXNet Gluon These notebooks have been created by Jonathan Chung, as part of his internship as Applied Scientis

Amazon Web Services - Labs 404 Jun 20, 2022
Detect handwritten words in a text-line (classic image processing method).

Word segmentation Implementation of scale space technique for word segmentation as proposed by R. Manmatha and N. Srimal. Even though the paper is fro

Harald Scheidl 178 Jun 21, 2022
Apply different text recognition services to images of handwritten documents.

Handprint The Handwritten Page Recognition Test is a command-line program that invokes HTR (handwritten text recognition) services on images of docume

Caltech Library 98 Jun 24, 2022
OCR software for recognition of handwritten text

Handwriting OCR The project tries to create software for recognition of a handwritten text from photos (also for Czech language). It uses computer vis

Břetislav Hájek 523 Jun 27, 2022
Handwritten Number Recognition using CNN and Character Segmentation

Handwritten-Number-Recognition-With-Image-Segmentation Info About this repository This Repository is aimed at reading handwritten images of numbers an

Sparsha Saha 16 Jun 5, 2022
A python programusing Tkinter graphics library to randomize questions and answers contained in text files

RaffleOfQuestions Um programa simples em python, utilizando a biblioteca gráfica Tkinter para randomizar perguntas e respostas contidas em arquivos de

Gabriel Ferreira Rodrigues 1 Dec 16, 2021
This can be use to convert text in a file to handwritten text.

TextToHandwriting This can be used to convert text to handwriting. Clone this project or download the code. Run TextToImage.py give the filename of th

Ashutosh Mahapatra 2 Feb 6, 2022
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

STN-OCR: A single Neural Network for Text Detection and Text Recognition This repository contains the code for the paper: STN-OCR: A single Neural Net

Christian Bartz 489 Apr 28, 2022
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

text-detection-ctpn Scene text detection based on ctpn (connectionist text proposal network). It is implemented in tensorflow. The origin paper can be

Shaohui Ruan 3.3k Jun 29, 2022
A pure pytorch implemented ocr project including text detection and recognition

ocr.pytorch A pure pytorch implemented ocr project. Text detection is based CTPN and text recognition is based CRNN. More detection and recognition me

coura 392 Jun 16, 2022
Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Handwriting Recognition System This repository is the Tensorflow implementation of the Handwriting Recognition System described in Handwriting Recogni

Edgard Chammas 328 Jun 16, 2022
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Attention-based OCR Visual attention-based OCR model for image recognition with additional tools for creating TFRecords datasets and exporting the tra

Ed Medvedev 911 Jun 18, 2022
This is used to convert a string to an Image with Handwritten Characters.

Text-to-Handwriting-using-python This is used to convert a string to an Image with Handwritten Characters. text_to_handwriting(string: str, save_to: s

Akashdeep Mahata 2 Apr 30, 2022
Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

Total-Text-Dataset (Official site) Updated on April 29, 2020 (Detection leaderboard is updated - highlighted E2E methods. Thank you shine-lcy.) Update

Chee Seng Chan 648 Jun 21, 2022