前言:
此时各位老铁们对“ocrjs”大概比较关怀,同学们都需要学习一些“ocrjs”的相关资讯。那么小编也在网络上收集了一些关于“ocrjs””的相关资讯,希望大家能喜欢,看官们一起来学习一下吧!awesome-deep-text-detection-recognition
A curated list of awesome deep learning based papers on text detection and recognition.
资源链接:
Papers
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
intro: Google. Ian J. Goodfellowarxiv:
End-to-End Text Recognition with Convolutional Neural Networks
paper: thesis:
Word Spotting and Recognition with Embedded Attributes
paper:
Reading Text in the Wild with Convolutional Neural Networks
arxiv: : : :
Deep structured output learning for unconstrained text recognition
intro: "propose an architecture consisting of a character sequence CNN and an N-gram encoding CNN which act on an input image in parallel and whose outputs are utilized along with a CRF model to recognize the text content present within the image."arxiv:
Deep Features for Text Spotting
paper: : :
Reading Scene Text in Deep Convolutional Sequences
intro: AAAI 2016arxiv:
DeepFont: Identify Your Font from An Image
arxiv:
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
intro: Convolutional Recurrent Neural Network (CRNN)arxiv: : :
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
arxiv: Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networksarxiv:
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
arxiv:
End-to-End Interpretation of the French Street Name Signs Dataset
paper: :
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance
arxiv:
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading
arxiv: Text Proposals for Scene Images with Fully Convolutional Networksintro: Universitat Autonoma de Barcelona (UAB) & University of Florenceintro: International Conference on Pattern Recognition (ICPR) - DLPR (Deep Learning for Pattern Recognition) workshoparxiv:
Scene Text Eraser
Attention-based Extraction of Structured Information from Street View Imagery
intro: University College London & Google Incarxiv: :
Implicit Language Model in LSTM for OCR
Detection
Object Proposals for Text Extraction in the Wild
intro: ICDAR 2015arxiv: :
Text-Attentional Convolutional Neural Networks for Scene Text Detection
arxiv:
Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network
arxiv:
Synthetic Data for Text Localisation in Natural Images
intro: CVPR 2016project page: : : :
Scene Text Detection via Holistic, Multi-Channel Prediction
arxiv:
Detecting Text in Natural Image with Connectionist Text Proposal Network
intro: ECCV 2016arxiv: : (CUDA8.0 support): : :
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
intro: AAAI 2017arxiv: : :
TextBoxes++: A Single-Shot Oriented Scene Text Detector
intro: TIP 2018. University of Science and Technology(HUST)arxiv: (official, Caffe):
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
intro: IEEE Transactions on Multimediakeywords: RRPNarxiv: : :
Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection
intro: CVPR 2017intro: F-measure 70.64%, outperforming the existing state-of-the-art method with F-measure 63.76%arxiv:
Detecting Oriented Text in Natural Images by Linking Segments
intro: CVPR 2017arxiv: :
Deep Direct Regression for Multi-Oriented Scene Text Detection
arxiv:
Cascaded Segmentation-Detection Networks for Word-Level Text Spotting
Text-Detection-using-py-faster-rcnn-framework
github:
WordFence: Text Detection in Natural Images with Border Awarenessintro: ICIP 2017arcxiv:
SSD-text detection: Text Detector
intro: A modified SSD model for text detectiongithub:
R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
intro: Samsung R&D Institute Chinaarxiv:
R-PHOC: Segmentation-Free Word Spotting using CNN
intro: ICDAR 2017arxiv:
Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks
intro: ICCV 2017arxiv:
EAST: An Efficient and Accurate Scene Text Detector
intro: CVPR 2017. Megviiarxiv: : :
Deep Scene Text Detection with Connected Component Proposals
intro: Amap Vision Lab, Alibaba Grouparxiv:
Single Shot Text Detector with Regional Attention
intro: ICCV 2017arxiv: : :
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
Deep Residual Text Detection Network for Scene Text
intro: IAPR International Conference on Document Analysis and Recognition (ICDAR) 2017. Samsung R&D Institute of China, Beijingarxiv:
Feature Enhancement Network: A Refined Scene Text Detector
intro: AAAI 2018arxiv:
ArbiText: Arbitrary-Oriented Text Detection in Unconstrained Scene
Detecting Curve Text in the Wild: New Dataset and New Solution
arxiv: :
FOTS: Fast Oriented Text Spotting with a Unified Network
PixelLink: Detecting Scene Text via Instance Segmentation
intro: AAAI 2018arxiv:
PixelLink: Detecting Scene Text via Instance Segmentation
intro: AAAI 2018. Zhejiang University & Chinese Academy of Sciencesarxiv:
Sliding Line Point Regression for Shape Robust Scene Text Detection
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
intro: CVPR 2018arxiv:
Single Shot TextSpotter with Explicit Alignment and Attention
intro: CVPR 2018arxiv:
Rotation-Sensitive Regression for Oriented Scene Text Detection
intro: CVPR 2018arxiv:
Detecting Multi-Oriented Text with Corner-based Region Proposals
arxiv: :
An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
intro: IJCAI 2018. Alibaba Grouparxiv:
Boosting up Scene Text Detectors with Guided CNN
Shape Robust Text Detection with Progressive Scale Expansion Network
arxiv: :
A Single Shot Text Detector with Scale-adaptive Anchors
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
intro: ECCV 2018arxiv:
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
intro: ECCV 2018. Huazhong University of Science and Technology & Megvii (Face++) Technologyarxiv:
Accurate Scene Text Detection through Border Semantics Awareness and Bootstrapping
intro: ECCV 2018arxiv:
TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade
Correlation Propagation Networks for Scene Text Detection
Scene Text Detection with Supervised Pyramid Context Network
intro: AAAI 2019arxiv:
Improving Rotated Text Detection with Rotation Region Proposal Networks
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
Mask R-CNN with Pyramid Attention Network for Scene Text Detection
intro: WACV 2019arxiv:
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection
intro: Huazhong University of Science and Technology (HUST) & Alibaba Grouparxiv:
Detecting Text in the Wild with Deep Character Embedding Network
intro: ACCV 2018intro: Baiduarxiv:
Text Recognition
Sequence to sequence learning for unconstrained scene text recognition
intro: master thesisarxiv:
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
arxiv:
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
intro: correct rates: Dataset-CASIA 97.10% and Dataset-ICDAR 97.15%arxiv:
Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition
arxiv:
Visual attention models for scene text recognition
Focusing Attention: Towards Accurate Text Recognition in Natural Images
intro: ICCV 2017arxiv:
Scene Text Recognition with Sliding Convolutional Character Models
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition
A New Hybrid-parameter Recurrent Neural Networks for Online Handwritten Chinese Character Recognition
AON: Towards Arbitrarily-Oriented Text Recognition
arxiv: :
Arbitrarily-Oriented Text Recognition
intro: A method used in ICDAR 2017 word recognition competitionsarxiv:
SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
Edit Probability for Scene Text Recognition
intro: Fudan University & Hikvision Research Institutearxiv:
SCAN: Sliding Convolutional Attention Network for Scene Text Recognition
Adaptive Adversarial Attack on Scene Text Recognition
intro: University of Floridaarxiv:
ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification
Text Detection + Recognition
STN-OCR: A single Neural Network for Text Detection and Text Recognition
arxiv: :
Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework
intro: ICCV 2017arxiv:
FOTS: Fast Oriented Text Spotting with a Unified Network
Single Shot TextSpotter with Explicit Alignment and Attention
An end-to-end TextSpotter with Explicit Alignment and Attention
intro: CVPR 2018arxiv: (official, Caffe):
Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes
intro: ECCV 2018arxiv: :
Scene Text Detection and Recognition: The Deep Learning Era
arxiv: :
A Novel Integrated Framework for Learning both Text Detection and Recognition
intro: Alibabaarxiv:
Breaking Captcha
Using deep learning to break a Captcha system
intro: "Using Torch code to break simplecaptcha with 92% accuracy"blog: :
Breaking reddit captcha with 96% accuracy
blog: :
I’m not a human: Breaking the Google reCAPTCHA
paper:
Neural Net CAPTCHA Cracker
slides: : :
Recurrent neural networks for decoding CAPTCHAS
blog: : :
Reading irctc captchas with 95% accuracy using deep learning
github:
端到端的OCR:基于CNN的实现
blog:
I Am Robot: (Deep) Learning to Break Semantic Image CAPTCHAs
intro: automatically solving 70.78% of the image reCaptchachallenges, while requiring only 19 seconds per challenge. apply to the Facebook image captcha and achieve an accuracy of 83.5%paper:
SimGAN-Captcha
intro: Solve captcha without manually labeling a training setgithub:
Handwritten Recognition
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
arxiv: :
Recognize your handwritten numbers
Handwritten Digit Recognition using Convolutional Neural Networks in Python with Keras
blog:
MNIST Handwritten Digit Classifier
github:
如何用卷积神经网络CNN识别手写数字集?
blog:
LeNet – Convolutional Neural Network in Python
blog:
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention
arxiv:
MLPaint: the Real-Time Handwritten Digit Recognizer
blog: : :
Training a Computer to Recognize Your Handwriting
Using TensorFlow to create your own handwriting recognition engine
blog: :
Building a Deep Handwritten Digits Classifier using Microsoft Cognitive Toolkit
blog: :
Hand Writing Recognition Using Convolutional Neural Networks
intro: This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle.github:
Design of a Very Compact CNN Classifier for Online Handwritten Chinese Character Recognition Using DropWeight and Global Pooling
intro: 0.57 MB, performance is decreased only by 0.91%.arxiv:
Handwritten digit string recognition by combination of residual network and RNN-CTC
Plate Recognition
Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs
arxiv:
Number plate recognition with Tensorflow
blog: (Deep ANPR):
end-to-end-for-plate-recognition
github:
Segmentation-free Vehicle License Plate Recognition using ConvNet-RNN
intro: International Workshop on Advanced Image Technology, January, 8-10, 2017. Penang, Malaysia. Proceeding IWAIT2017arxiv:
License Plate Detection and Recognition Using Deeply Learned Convolutional Neural Networks
arxiv: :
Adversarial Generation of Training Examples for Vehicle License Plate Recognition
Towards End-to-End Car License Plates Detection and Recognition with Deep Neural Networks
arxiv:
Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline
paper: : :
High Accuracy Chinese Plate Recognition Framework
intro: 基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.gihtub:
LPRNet: License Plate Recognition via Deep Neural Networks
intrp=o: Intel IOTG Computer Vision Groupintro: works in real-time with recognition accuracy up to 95% for Chinese license plates: 3 ms/plate on nVIDIAR GeForceTMGTX 1080 and 1.3 ms/plate on IntelR CoreTMi7-6700K CPU.arxiv:
How many labeled license plates are needed?
intro: Chinese Conference on Pattern Recognition and Computer Visionarxiv:
Blogs
Applying OCR Technology for Receipt Recognition
blog: :
Hacking MNIST in 30 lines of Python
blog: :
Optical Character Recognition Using One-Shot Learning, RNN, and TensorFlow
Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
Projects
ocropy: Python-based tools for document analysis and OCR
github:
Extracting text from an image using Ocropus
blog:
CLSTM : A small C++ implementation of LSTM networks, focused on OCR
github:
OCR text recognition using tensorflow with attention
github: :
Digit Recognition via CNN: digital meter numbers detection
github(caffe):
Attention-OCR: Visual Attention based OCR
github:
umaru: An OCR-system based on torch using the technique of LSTM/GRU-RNN, CTC and referred to the works of rnnlib and clstm
github:
Tesseract.js: Pure Javascript OCR for 62 Languages
homepage: :
DeepHCCR: Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)
github:
deep ocr: make a better chinese character recognition OCR than tesseract
Practical Deep OCR for scene text using CTPN + CRNN
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
SSD_scene-text-detection
github: :
Videos
LSTMs for OCR
youtube:
Resources
Deep Learning for OCR
Scene Text Localization & Recognition Resources
intro: A curated list of resources dedicated to scene text localization and recognitiongithub:
Scene Text Localization & Recognition Resources
intro: 图像文本位置感知与识别的论文资源汇总github:
awesome-ocr: A curated list of promising OCR resources
标签: #ocrjs