Read this institute-wise: English, 简体中文.
Read this year-wise: 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: Aug.12 2018
- [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
- [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
code
- [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
- [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
- [2018-AAAI][STL] Feature Enhancement Network: A Refined Scene Text Detector
paper
- [2017-arXiv][STL] Detecting Curve Text in the Wild: New Dataset and New Solution
paper
- [2017-TPAMI][TR] Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
paper
- [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
- [2018-CVPR][TR] Edit Probability for Scene Text Recognition
paper
- [2017-arXiv][STL] Arbitrary-Oriented Scene Text Detection via Rotation Proposals
paper
- [2018-ICIP][STL] Feature Fusion Network for Scene Text Detection
- [2018-CVPR][STL] Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
paper
- [2018-CVPR][STL] Rotation-sensitive Regression for Oriented Scene Text Detection
paper
- [2018-TIP][STL] TextBoxes++: A Single-Shot Oriented Scene Text Detector
paper
code
- [2017-AAAI][STL] TextBoxes: A Fast TextDetector with a Single Deep Neural Network
paper
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-TPAMI][TR] An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
paper
code
code
- [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
- [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
- [2017-AAAI][STL][TR] Detection and Recognition of Text Embedding in Online Images via Neural Context Models
paper
- [2017-arXiv][STL] Deep Direct Regression for Multi-Oriented Scene Text Detection
paper
- [2016-CVPR][TR] Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
paper
- [2017-arXiv][STL] Cascaded Segmentation-Detection Networks for Word-Level Text Spotting
paper
- [2016-arXiv][STL][TR] COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
paper
- [2016-PhD Thesis][STL] Context Modeling for Semantic Text Matching and Scene Text Detection
paper
- [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
- [2016-CVPR][STL] CannyText Detector: Fast and Robust Scene Text Localization Algorithm
paper
- [2016-IJDAR][STL] TextCatcher: a method to detect curved and challenging text in natural scenes
paper
- [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
- [2013-ICCV][STL][TR] Photo OCR: Reading Text in Uncontrolled Conditions
paper
- [2017-arXiv][STL] R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
paper
- [2016-NIPS][TR] Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data
paper
- [2013-CVPR][TR] Scene Text Recognition using Part-based Tree-structured Character Detection
paper
- [2017-ICCV][STL] WeText: Scene Text Detection under Weak Supervision
paper
- [2017-ICCV][STL] Self-organized Text Detection with Minimal Post-processing via Border Learning
paper
- [2017-ICCV][TR] Focusing Attention: Towards Accurate Text Recognition in Natural Images
paper
- [2017-ICCV][STL][TR] Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks
paper
- [2017-CVPR][STL] Unambiguous Text Localization and Retrieval for Cluttered Scenes
paper
- [2018-AAAI][TR] Char-Net: A Character-Aware Neural Network for Distorted Scene Text
paper
- [2018-AAAI][STL] PixelLink: Detecting Scene Text via Instance Segmentation
paper
- [2018-AAAI][TR] SqueezedText: A Real-time Scene Text Recognition by Binary Convolutional
Encoder-decoder Network
paper
- [2018-CVPR][STL] Geometry-Aware Scene Text Detection with Instance Transformation Network
paper
- [2018-CVPR][STL] Learning Markov Clustering Networks for Scene Text Detection
paper
- [2018-IJCAI][STL] IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
paper
- [2018-ICIP][STL] Dense Chained Attention Network for Scene Text Recognition
- [2018-ICIP][STL] Focal Text: An Accurate Text Detection With Focal Loss
21,384 images, 21,384+ text instances
Task: text location and recognition
63,686 images, 173,589 text instances, 3 fine-grained text attributes.
Task: text location and recognition
9 million images covering 90k English words
Task: text recognition, segmantation
Real-world street view number image with its position and classification tags.
Task: number location detection, text recognition
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
Small single-character images of 62 characters (0-9, a-z, A-Z)
Task: text recognition
500 natural images(resolutions of the images vary from 1296x864 to 1920x1280)
Chinese, English or mixture of both
Task: text detection
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
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
Dataset | Description | Competition Paper |
---|---|---|
ICDAR 2015 | 1000 training images and 500 testing images | paper |
ICDAR 2013 | 229 training images and 233 testing images | paper |
ICDAR 2011 | 229 training images and 255 testing images | paper |
ICDAR 2005 | 1001 training images and 489 testing images | paper |
ICDAR 2003 | 181 training images and 251 testing images(word level and character level) | paper |
Name | Description |
---|---|
Tesseract OCR | API,free |
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 |
- Scene Text Detection with OpenCV 3
- Handwritten numbers detection and recognition
- Applying OCR Technology for Receipt Recognition
- Convolutional Neural Networks for Object(Car License) Detection
- Extracting text from an image using Ocropus
- Number plate recognition with Tensorflow
github
- Using deep learning to break a Captcha system
report
github
- Breaking reddit captcha with 96% accuracy
github
- 文字检测与识别资源-1
- 文字的检测与识别资源-2