Optical Character Recognition

130 papers with code • 0 benchmarks • 0 datasets

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Use these libraries to find Optical Character Recognition models and implementations

Most implemented papers

PP-OCR: A Practical Ultra Lightweight OCR System

PaddlePaddle/PaddleOCR 21 Sep 2020

Meanwhile, several pre-trained models for the Chinese and English recognition are released, including a text detector (97K images are used), a direction classifier (600K images are used) as well as a text recognizer (17. 9M images are used).

COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

xiaofengShi/CHINESE-OCR 26 Jan 2016

The goal of COCO-Text is to advance state-of-the-art in text detection and recognition in natural images.

OCR-free Document Understanding Transformer

clovaai/donut 30 Nov 2021

Current Visual Document Understanding (VDU) methods outsource the task of reading text to off-the-shelf Optical Character Recognition (OCR) engines and focus on the understanding task with the OCR outputs.

ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

bgshih/aster good 2018

SCENE text recognition has attracted great interest from the academia and the industry in recent years owing to its importance in a wide range of applications.

Stroke extraction for offline handwritten mathematical expression recognition

chungkwong/mathocr-myscript 16 May 2019

Given a ready-made state-of-the-art online handwritten mathematical expression recognizer, the proposed procedure correctly recognized 58. 22%, 65. 65%, and 65. 22% of the offline formulas rendered from the datasets of the Competitions on Recognition of Online Handwritten Mathematical Expressions(CROHME) in 2014, 2016, and 2019 respectively.

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

cydal/LayoutML_pytorch 27 May 2019

We present a new dataset for form understanding in noisy scanned documents (FUNSD) that aims at extracting and structuring the textual content of forms.

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

amzn/convolutional-handwriting-gan CVPR 2020

This is especially true for handwritten text recognition (HTR), where each author has a unique style, unlike printed text, where the variation is smaller by design.

Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders

IVRL/w2s ICLR 2021

Deep Learning based methods have emerged as the indisputable leaders for virtually all image restoration tasks.

PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System

PaddlePaddle/PaddleOCR 7 Sep 2021

Optical Character Recognition (OCR) systems have been widely used in various of application scenarios.

Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification

ihsaan-ullah/meta-album NeurIPS 2022

We introduce Meta-Album, an image classification meta-dataset designed to facilitate few-shot learning, transfer learning, meta-learning, among other tasks.