/image-text-localization-recognition

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源汇总

Scene Text Localization & Recognition Resources

Read this in other languages: English, 简体中文.

Tags: [STL] (Scene Text Localization), [TR] (Text Recognition)

[STL] (Scene Text Localization) Detect text area from scene input image

[TR] (Text Recognition) Recognize text content

Last update: Nov.28 2017

1. Papers & Code

Overview

  • [2016-TIP] Text Detection Tracking and Recognition in Video:A Comprehensive Survey paper
  • [2015-PAMI] Text Detection and Recognition in Imagery: A Survey paper
  • [2014-Front.Comput.Sci] Scene Text Detection and Recognition: Recent Advances and Future Trends paper

University of Oxford

  • [2016-IJCV][STL][TR] Reading Text in the Wild with Convolutional Neural Networks paper demo homepage
  • [2016-CVPR][STL] Synthetic Data for Text Localisation in Natural Images paper code data
  • [2015-ICLR][TR] Deep structured output learning for unconstrained text recognition paper
  • [2015-PhD Thesis][STL] Deep Learning for Text Spotting paper
  • [2014-ECCV][STL] Deep Features for Text Spotting paper code model GitXiv
  • [2014-NIPS][TR] Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition paper homepage model

Shenzhen Institutes of Advanced Technology

  • [2016-ECCV][STL] CTPN: Detecting Text in Natural Image with Connectionist Text Proposal Network paper code
  • [2016-CVPR][STL] Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network paper
  • [2016-AAAI][STL] Reading Scene Text in Deep Convolutional Sequences paper
  • [2016-TIP][STL] Text-Attentional Convolutional Neural Networks for Scene Text Detection paper
  • [2014-ECCV][STL] Robust Scene Text Detection with Convolution Neural Network Induced MSER Trees paper

South China University of Technology

  • [2017-CVPR][STL] Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection paper
  • [2016-arXiv][STL] DeepText:A Unified Framework for Text Proposal Generation and Text Detection in Natural Images paper

Fudan University

  • [2017-arXiv][STL] Arbitrary-Oriented Scene Text Detection via Rotation Proposals paper

Huazhong University of Science and Technology

  • [2017-AAAI][STL] TextBoxes: A Fast TextDetector with a Single Deep Neural Network paper code github code
  • [2017-CVPR][STL] Detecting Oriented Text in Natural Images by Linking Segments paper
  • [2016-CVPR][TR] Robust scene text recognition with automatic rectification paper
  • [2016-arXiv][STL] Scene Text Detection via Holistic, Multi-Channel Prediction paper
  • [2016-CVPR][STL] Multi-oriented text detection with fully convolutional networks paper
  • [2015-CoRR][TR] An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition paper code github code

Universitat Autònoma de Barcelona

  • [2017-arXiv][STL] Improving Text Proposal for Scene Images with Fully Convolutional Networks paper
  • [2016-arXiv][STL] TextProposals: a Text-specific Selective Search Algorithm for Word Spotting in the Wild paper code
  • [2015-ICDAR][STL] Object Proposals for Text Extraction in the Wild paper code
  • [2014-TPAMI][TR] Word Spotting and Recognition with Embedded Attributes paper homepage code

Stanford University

  • [2012-ICPR][TR] End-to-End Text Recognition with Convolutional Neural Networks paper code SVHN Dataset
  • [2012-PhD Thesis][TR] End-to-End Text Recognition with Convolutional Neural Networks paper

Seoul National University

  • [2017-AAAI][STL][TR] Detection and Recognition of Text Embedding in Online Images via Neural Context Models paper code

Megvii Technology Inc: Face++

  • [2017-CVPR][STL] EAST: An Efficient and Accurate Scene Text Detector paper

Institute of Automation, Chinese Academy of Sciences

  • [2017-arXiv][STL] Deep Direct Regression for Multi-Oriented Scene Text Detection paper

University of California, San Diego

  • [2016-CVPR][TR] Recursive Recurrent Nets with Attention Modeling for OCR in the Wild paper

University of California, Santa Cruz

  • [2017-arXiv][STL] Cascaded Segmentation-Detection Networks for Word-Level Text Spotting paper

Cornell University

  • [2016-arXiv][STL][TR] COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images paper

Pennsylvania State University

  • [2016-PhD Thesis][STL] Context Modeling for Semantic Text Matching and Scene Text Detection paper

University of Science and Technology Beijing

  • [2016-IJCAI][STL] Scene Text Detection in Video by Learning Locally and Globally paper
  • [2014-TPAMI][TR] Robust Text Detection in Natural Scene Images paper

Pohang University of Science and Technology

  • [2016-CVPR][STL] CannyText Detector: Fast and Robust Scene Text Localization Algorithm paper

École d'Ingénieurs en Informatique

  • [2016-IJDAR][STL] TextCatcher: a method to detect curved and challenging text in natural scenes paper

České vysoké učení technické v Praze. Czech Technical University

  • [2017-ICCV][STL][TR] Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework peper code
  • [2015-TPAMI][STL][TR] Real-time Lexicon-free Scene Text Localization and Recognition paper
  • [2015-ICCV][STL] FASText: Efficient unconstrained scene text detector paper code
  • [2012-CVPR][STL][TR] Real-time scene text localization and recognition paper code

Google Inc

  • [2013-ICCV][STL][TR] Photo OCR:Reading Text in Uncontrolled Conditions paper

Microsoft Inc

  • [2010-CVPR][STL] SWT: Detecting Text in Natural Scenes with Stroke Width Transform paper code

Samsung R&D Institute China

  • [2017-arXiv][STL] R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection paper

Vicarious FPC Inc

  • [2016-NIPS][TR] Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data paper

Chinese State Key Laboratory of Management and Control for Complex Systems

  • [2013-CVPR][TR] Scene Text Recognition using Part-based Tree-structured Character Detection paper

Stanford University

  • [2012-ICPR][TR] End-to-End Text Recognition with CNN paper code

Visual Computing Department, Institute for Infocomm Research

  • [2017-ICCV][STL] WeText: Scene Text Detection under Weak Supervision paper

University of Florida

  • [2017-ICCV][STL] Single Shot Text Detector with Regional Attention paper code

University of Southern California

  • [2017-ICCV][STL] Self-organized Text Detection with Minimal Post-processing via Border Learning paper

Hikvision Research Institute

  • [2017-ICCV][TR] Focusing Attention: Towards Accurate Text Recognition in Natural Images paper

University of Adelaide

  • [2017-ICCV][STL][TR] Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks paper

City University of New York

  • [2017-CVPR][STL] Unambiguous Text Localization and Retrieval for Cluttered Scenes paper

2. Datasets

PowerPoint Text Detection and Recognition Dataset 2017

21,384 images, 21,384+ text instances

Task: text location and recognition

download

COCO-Text (Computer Vision Group, Cornell) 2016

63,686 images, 173,589 text instances, 3 fine-grained text attributes.

Task: text location and recognition

download

Synthetic Word Dataset (Oxford, VGG) 2014

9 million images covering 90k English words

Task: text recognition, segmantation

download

IIIT 5K-Words 2012

5000 images from Scene Texts and born-digital (2k training and 3k testing images)

Each image is a cropped word image of scene text with case-insensitive labels

Task: text recognition

download

StanfordSynth(Stanford, AI Group) 2012

Small single-character images of 62 characters (0-9, a-z, A-Z)

Task: text recognition

download

MSRA Text Detection 500 Database (MSRA-TD500) 2012

500 natural images(resolutions of the images vary from 1296x864 to 1920x1280)

Chinese, English or mixture of both

Task: text detection

Street View Text (SVT) 2010

350 high resolution images (average size 1260 × 860) (100 images for training and 250 images for testing)

Only word level bounding boxes are provided with case-insensitive labels

Task: text location

KAIST Scene_Text Database 2010

3000 images of indoor and outdoor scenes containing text

Korean, English (Number), and Mixed (Korean + English + Number)

Task: text location, segmantation and recognition

Chars74k 2009

Over 74K images from natural images, as well as a set of synthetically generated characters

Small single-character images of 62 characters (0-9, a-z, A-Z)

Task: text recognition

ICDAR Benchmark Datasets

Dataset Description Competition Paper
ICDAR 2015 1000 training images and 500 testing images paper link
ICDAR 2013 229 training images and 233 testing images paper link
ICDAR 2011 229 training images and 255 testing images paper link
ICDAR 2005 1001 training images and 489 testing images paper link
ICDAR 2003 181 training images and 251 testing images(word level and character level) paper link

3. Online OCR Service

Name Description
Online OCR API，free
Free OCR API，free
New OCR API，free
ABBYY FineReader Online No API，Not free
Super Online Transfer Tools (Chinese) API，free
Online Chinese Recognition API，free

4. Blogs