Handwriting Recognition

49 papers with code • 3 benchmarks • 20 datasets

Libraries

Use these libraries to find Handwriting Recognition models and implementations

Most implemented papers

Digital Peter: Dataset, Competition and Handwriting Recognition Methods

MarkPotanin/DigitalPeter 16 Mar 2021

This paper presents a new dataset of Peter the Great's manuscripts and describes a segmentation procedure that converts initial images of documents into the lines.

A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognition

Brain-Inspired-Computing/Final-Project 21 Jul 2015

The architecture is not limited to handwriting recognition, but is generally applicable as an extremely fast pattern recognition processor for various kinds of patterns such as speech and images.

Drawing and Recognizing Chinese Characters with Recurrent Neural Network

YifeiY/hanzi_recognition 21 Jun 2016

In this paper, we propose a framework by using the recurrent neural network (RNN) as both a discriminative model for recognizing Chinese characters and a generative model for drawing (generating) Chinese characters.

A Gentle Tutorial of Recurrent Neural Network with Error Backpropagation

disooqi/Natasy 8 Oct 2016

We describe recurrent neural networks (RNNs), which have attracted great attention on sequential tasks, such as handwriting recognition, speech recognition and image to text.

The Impact of Random Models on Clustering Similarity

ajgates42/clusim 23 Jan 2017

It is often argued that, in order to establish a baseline, clustering similarity should be assessed in the context of a random ensemble of clusterings.

Open Source Dataset and Deep Learning Models for Online Digit Gesture Recognition on Touchscreens

PhilipCorr/numeral-gesture-dataset 20 Sep 2017

The second model used a 1D ConvNet architecture but was applied to the sequence of polar vectors connecting the touch points.

Start, Follow, Read: End-to-End Full-Page Handwriting Recognition

cwig/start_follow_read ECCV 2018

Despite decades of research, offline handwriting recognition (HWR) of degraded historical documents remains a challenging problem, which if solved could greatly improve the searchability of online cultural heritage archives.

Handwriting Recognition of Historical Documents with few labeled data

0x454447415244/HandwritingRecognitionSystem 10 Nov 2018

In this work, we demonstrate how to train an HTR system with few labeled data.

Unsupervised learning with sparse space-and-time autoencoders

facebookresearch/SparseConvNet 26 Nov 2018

We use spatially-sparse two, three and four dimensional convolutional autoencoder networks to model sparse structures in 2D space, 3D space, and 3+1=4 dimensional space-time.

Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks

IntuitionMachines/OrigamiNet 31 Dec 2018

Unconstrained text recognition is an important computer vision task, featuring a wide variety of different sub-tasks, each with its own set of challenges.