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| trainning-data-preparing.md | https://github.com/DeepLearningCode/awesome-ocr/blob/master/trainning-data-preparing.md |
| 车牌识别.md | https://github.com/DeepLearningCode/awesome-ocr/blob/master/%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md |
| 车牌识别.md | https://github.com/DeepLearningCode/awesome-ocr/blob/master/%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%AB.md |
| README | https://github.com/DeepLearningCode/awesome-ocr |
| MIT license | https://github.com/DeepLearningCode/awesome-ocr |
| https://github.com/DeepLearningCode/awesome-ocr#awesome-ocr |
| https://github.com/DeepLearningCode/awesome-ocr#librarys |
| 百度api store | http://apistore.baidu.com/astore/servicesearch?word=ocr&searchType=null |
| 阿里云市场 | https://market.aliyun.com/products/#ymk=%7B%22keywords%22:%22ocr%22,%22pageSize%22:10,%22saleMode%22:0,%22pageIndex%22:1,%22categoryId%22:%22%22%7D |
| 腾讯云 | https://cloud.tencent.com/document/product/641/12399 |
| Codes And Documents For OcrKing Api | https://github.com/AvensLab/OcrKing |
| Tesseract-OCR | https://github.com/tesseract-ocr/tesseract |
| Tesseract.js is a pure Javascript port of the popular Tesseract OCR engine. | http://tesseract.projectnaptha.com/ |
| tesseract is an R package providing bindings to Tesseract. | https://github.com/ropensci/tesseract |
| List of Tesseract add-ons including wrappers in different languages. | https://github.com/tesseract-ocr/tesseract/wiki/AddOns |
| Ocular is a state-of-the-art historical OCR system. | https://github.com/tberg12/ocular/ |
| sfhistory Making a map of historical SF photos -博文4所带库 | https://github.com/danvk/sfhistory |
| ocropy-论文1所带库 by Adnan Ul-Hasan | https://github.com/tmbdev/ocropy |
| A small C++ implementation of LSTM networks, focused on OCR.by Adnan Ul-Hasan | https://github.com/tmbdev/clstm |
| End to end OCR system for Telugu. Based on Convolutional Neural Networks. | https://github.com/TeluguOCR/banti_telugu_ocr |
| Telugu OCR framework using RNN, CTC in Theano & Python3. | https://github.com/rakeshvar/chamanti_ocr |
| Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example. | https://github.com/rakeshvar/rnn_ctc |
| implement CTC with keras? #383 | https://github.com/fchollet/keras/issues/383#issuecomment-166850153 |
| mxnet and ocr | https://github.com/dmlc/mxnet/issues/1023#issuecomment-167189233 |
| An OCR-system based on Torch using the technique of LSTM/GRU-RNN, CTC and referred to the works of rnnlib and clstm. | https://github.com/edward-zhu/umaru |
| pure javascript lstm rnn implementation based on ocropus | https://github.com/naptha/ocracy |
| 'caffe-ocr - OCR with caffe deep learning framework' by pannous | https://github.com/pannous/caffe-ocr |
| A implementation of LSTM and CTC to recognize image without splitting | https://github.com/aaron-xichen/cnn-lstm-ctc |
| RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling. It's written by C# language and based on .NET framework 4.6 or above version. RNNSharp supports many different types of RNNs, such as BPTT and LSTM RNN, forward and bi-directional RNNs, and RNN-CRF. | https://github.com/zhongkaifu/RNNSharp |
| warp-ctc A fast parallel implementation of CTC, on both CPU and GPU. by BAIDU | https://github.com/baidu-research/warp-ctc |
| Test mxnet with own trained model,用训练好的网络模型进行数字,少量汉字,特殊字符(./等)的识别(总共有210类) | https://github.com/mittlin/mxnet_test |
| An expandable and scalable OCR pipeline | https://github.com/OpenPhilology/nidaba |
| OpenOCR makes it simple to host your own OCR REST API. | http://www.openocr.net/ |
| OCRmyPDF uses Tesseract for OCR, and relies on its language packs. | https://github.com/jbarlow83/OCRmyPDF |
| OwncloudOCR uses tesseract OCR and OCRmyPDF for reading text from images and images in PDF files. | https://github.com/Pogij/owncloudOCR |
| Nextcloud OCR (optical character recoginition) processing for images and PDF with tesseract-ocr, OCRmyPDF and php-native message queueing for asynchronous purpose. http://janis91.github.io/ocr/ | https://github.com/janis91/ocr |
| 多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet | https://github.com/szad670401/end-to-end-for-chinese-plate-recognition |
| 中国二代身份证光学识别 | https://github.com/KevinGong2013/ChineseIDCardOCR |
| SwiftOCR:Fast and simple OCR library written in Swift | https://github.com/garnele007/SwiftOCR |
| Attention-OCR :Visual Attention based OCR | https://github.com/da03/Attention-OCR |
| Added support for CTC in both Theano and Tensorflow along with image OCR example. #3436 | https://github.com/fchollet/keras/blob/master/examples/image_ocr.py |
| EasyPR是一个开源的中文车牌识别系统,其目标是成为一个简单、高效、准确的车牌识别库。 | https://github.com/liuruoze/EasyPR |
| Deep Embedded Clustering for OCR based on caffe | https://github.com/piiswrong/dec |
| Deep Embedded Clustering for OCR based on MXNet | https://github.com/dmlc/mxnet/blob/master/example/dec/dec.py |
| The minimum OCR server by Golang The minimum OCR server by Golang, and a tiny sample application of gosseract. | https://github.com/otiai10/ocrserver |
| A comparasion among different variant of gradient descent algorithm This script implements and visualizes the performance the following algorithms, based on the MNIST hand-written digit recognition dataset: | https://github.com/mazefeng/sgd-opt |
| A curated list of resources dedicated to scene text localization and recognition | https://github.com/chongyangtao/Awesome-Scene-Text-Recognition |
| Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition. | https://github.com/bgshih/crnn |
| Implementation of the method proposed in the papers " TextProposals: a Text-specific Selective Search Algorithm for Word Spotting in the Wild" and "Object Proposals for Text Extraction in the Wild" (Gomez & Karatzas), 2016 and 2015 respectively. | https://github.com/lluisgomez/TextProposals |
| Word Spotting and Recognition with Embedded Attributes http://www.cvc.uab.es/~almazan/index/projects/words-att/index.html | https://github.com/almazan/watts |
| Part of eMOP: Franken+ tool for creating font training for Tesseract OCR engine from page images. | https://github.com/Early-Modern-OCR/FrankenPlus |
| NOCR NOCR is an open source C++ software package for text recognition in natural scenes, based on OpenCV. The package consists of a library, console program and GUI program for text recognition. | https://github.com/honzatran/nocr |
| An OpenCV based OCR system, base to other projects Uses Histogram of Oriented Gradients (HOG) to extract characters features and Support Vector Machines as a classifier. It serves as basis for other projects that require OCR functionality. | https://github.com/eduardohenriquearnold/OCR/ |
| Recognize bib numbers from racing photos | https://github.com/gheinrich/bibnumber |
| Automatic License Plate Recognition library http://www.openalpr.com | https://github.com/openalpr/openalpr |
| 汽车挡风玻璃VIN码识别 | https://github.com/DoctorDYL/VINOCR |
| https://github.com/matthill/DemoOpenCV |
| Image Recognition for the Democracy Project with codes | https://github.com/democraciaconcodigos/recon |
| Tools to be evaluated prior to integration into Newman | https://github.com/Sotera/newman-research |
| Text Recognition in Natural Images in Python | https://github.com/FraPochetti/ImageTextRecognition |
| 运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别 | https://github.com/chineseocr/chinese-ocr |
| A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs | https://github.com/vicariousinc/science_rcn |
| STN-OCR: A single Neural Network for Text Detection and Text Recognition | https://github.com/Bartzi/stn-ocr |
| Digit Segmentation and Recognition using OpenCV and MLP test | https://github.com/kyper999/OCR |
| ctpn based on tensorflow | https://github.com/eragonruan/text-detection-ctpn |
| ctpn based on caffe | https://github.com/tianzhi0549/CTPN |
| A Python/OpenCV-based scene detection program, using threshold/content analysis on a given video. http://pyscenedetect.readthedocs.org | https://github.com/Breakthrough/PySceneDetect |
| Implementation of the seglink alogrithm in paper Detecting Oriented Text in Natural Images by Linking Segments | https://github.com/dengdan/seglink |
| Arbitrary-Oriented Scene Text Detection via Rotation Proposals | https://github.com/mjq11302010044/RRPN |
| 通过旋转候选框实现任意方向的场景文本检测 Arbitrary-Oriented Scene Text Detection via Rotation Proposals | http://www.jianshu.com/p/379dede5979c |
| Seven Segment Optical Character Recognition | https://github.com/auerswal/ssocr |
| https://camo.githubusercontent.com/c9f71cce0ad198c087d73fbc2c23eb999ce0e132d622731abc99ccf6388478ab/68747470733a2f2f7777772e756e69782d61672e756e692d6b6c2e64652f7e617565727377616c2f73736f63722f7369785f6469676974732e706e67 |
| SVHN yolo-v2 digit detector | https://github.com/penny4860/Yolo-digit-detector |
| Reads Scene Text in Tilted orientation. | https://github.com/jumzzz/Tilt-Scene-Text-OCR |
| ocr, cnn+lstm (CTPN/CRNN) for image text detection | https://github.com/Li-Ming-Fan/OCR-CTPN-CRNN |
| A stand alone character recognition micro-service with a RESTful API | https://github.com/gunthercox/ocr-service |
| Single Shot Text Detector with Regional Attention | https://github.com/BestSonny/SSTD |
| gocr is a go based OCR module | https://github.com/eaciit/gocr |
| GOCR is an optical character recognition program, released under the | https://github.com/SureChEMBL/gocr |
| UFOCR (User-Friendly OCR). It is YAGF fork: https://github.com/andrei-b/YAGF Supported input format: PDF, TIFF, JPEG, PNG, BMP, PBM, PGM, PPM, XBM, XPM. | https://github.com/ZaMaZaN4iK/ufocr |
| https://github.com/DeepLearningCode/awesome-ocr#papers |
| 论文1 can we build language-independent ocr using lstm networks by Adnan Ul-Hasan | https://www.google.co.jp/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjS4uDg1Y3MAhUDn6YKHe-YAqcQFggbMAA&url=http%3A%2F%2Fdl.acm.org%2Fcitation.cfm%3Fid%3D2505394&usg=AFQjCNHvV9kiHl181IaXAUC1zZLkd2LFdg |
| Adnan Ul-Hasan的博士论文 | https://github.com/wanghaisheng/awesome-ocr/raw/master/papers/Generic%20Text%20Recognition%20using%20Long%20Short-Term%20Memory%20Networks-PhD_Thesis_Ul-Hasan.pdf |
| Applying OCR Technology for Receipt Recognition | http://pan.baidu.com/s/1qXQBQiC |
| An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition | http://arxiv.org/pdf/1507.05717v1.pdf |
| Reading Scene Text in Deep Convolutional Sequences | http://arxiv.org/pdf/1506.04395v2.pdf |
| What You Get Is What You See:A Visual Markup Decompiler | http://arxiv.org/pdf/1609.04938v1.pdf |
| Recursive Recurrent Nets with Attention Modeling for OCR in the Wild | https://arxiv.org/abs/1603.03101 |
| #ICML 2016#【通过DNN把数据空间映射到latent的特征空间做聚类,目标函数是最小化软分配与辅助分布直接的KL距离,来迭代优化,思想类似于t-SNE,只不过这里使用了DNN】《Unsupervised Deep Embedding for Clustering Analysis》 | https://arxiv.org/pdf/1511.06335.pdf |
| SEE: Towards Semi-Supervised End-to-End Scene Text Recognition | https://github.com/Bartzi/see |
| A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs | http://science.sciencemag.org/content/early/2017/10/26/science.aag2612.full |
| EXTENDING THE PAGE SEGMENTATION ALGORITHMS OF THE OCROPUS DOCUMENTATION LAYOUT ANALYSIS SYSTEM | http://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=1122&context=td |
| Text Recognition in Scene Image and Video Frame using Color Channel Selection | https://arxiv.org/abs/1707.06810 |
| Scene Text Detection via Holistic, Multi-Channel Prediction | https://arxiv.org/pdf/1606.09002.pdf |
| Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition | https://github.com/DeepLearningCode/awesome-ocr/blob/master |
| Scene Text Recognition with Sliding Convolutional Character Models | https://github.com/DeepLearningCode/awesome-ocr/blob/master |
| Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network | https://github.com/DeepLearningCode/awesome-ocr/blob/master |
| https://github.com/DeepLearningCode/awesome-ocr#blogs |
| Tesseract-OCR引擎入门 | http://blog.csdn.net/xiaochunyong/article/details/7193744 |
| 博文1 Training an Ocropus OCR model | http://www.danvk.org/2015/01/11/training-an-ocropus-ocr-model.html |
| 博文2 Extracting text from an image using Ocropus | http://www.danvk.org/2015/01/09/extracting-text-from-an-image-using-ocropus.html |
| 博文3 Working with Ground Truth | https://github.com/tmbdev/ocropy/wiki/Working-with-Ground-Truth |
| 博文4 Finding blocks of text in an image using Python, OpenCV and numpy | http://www.danvk.org/2015/01/07/finding-blocks-of-text-in-an-image-using-python-opencv-and-numpy.html |
| Applying OCR Technology for Receipt Recognition | http://rnd.azoft.com/applying-ocr-technology-receipt-recognition/ |
| Writing a Fuzzy Receipt Parser in Python | http://tech.trivago.com/2015/10/06/python_receipt_parser/ |
| Number plate recognition with Tensorflow | http://matthewearl.github.io/2016/05/06/cnn-anpr/ |
| 车牌识别中的不分割字符的端到端(End-to-End)识别 | http://m.blog.csdn.net/article/details?id=52174198 |
| 端到端的OCR:基于CNN的实现 | http://blog.xlvector.net/2016-05/mxnet-ocr-cnn/ |
| 腾讯OCR—自动识别技术,探寻文字真实的容颜 | http://dataunion.org/17291.html |
| http://dataunion.org/wp-content/uploads/2015/05/640.webp_2.jpg | http://dataunion.org/wp-content/uploads/2015/05/640.webp_2.jpg |
| 验证码识别 | https://github.com/100steps/Blogs/issues/43 |
| Bank check OCR with OpenCV and Python (Part I) | https://www.pyimagesearch.com/2017/07/24/bank-check-ocr-with-opencv-and-python-part-i/ |
| Common Sense, Cortex, and CAPTCHA | https://www.vicarious.com/2017/10/26/common-sense-cortex-and-captcha/ |
| https://github.com/DeepLearningCode/awesome-ocr#presentations |
| http://pan.baidu.com/s/1kUoSyV1 | http://pan.baidu.com/s/1kUoSyV1 |
| https://github.com/DeepLearningCode/awesome-ocr#projects |
| Project Naptha :highlight, copy, search, edit and translate text in any image | https://github.com/naptha |
| https://github.com/DeepLearningCode/awesome-ocr#commercial-products |
| ABBYY | http://www.baidu.com/link?url=p0G_qRjgD7aGhNS9gLT6i83as15p7aYyTY7xXM2dEKC&wd=&eqid=defb39aa000a84da000000065730a048 |
| OCR.space is a service of a9t9 software GmbH. The goal of OCR.space is to bring fresh ideas, methods and products to the OCR community. | https://ocr.space/ |
| https://github.com/DeepLearningCode/awesome-ocr#ocr-databases |
| https://github.com/DeepLearningCode/awesome-ocr#others |
| pics for testing 测试用图片 | https://github.com/DeepLearningCode/awesome-ocr/blob/master |
| http://pan.baidu.com/s/1jGNIjPG | http://pan.baidu.com/s/1jGNIjPG |
| https://github.com/DeepLearningCode/awesome-ocr#discussion-and-feedback |
| https://user-images.githubusercontent.com/2363295/34026309-0d1f4e8e-e190-11e7-8415-c73405cb25e7.jpeg |
|
Readme
| https://github.com/DeepLearningCode/awesome-ocr#readme-ov-file |
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MIT license
| https://github.com/DeepLearningCode/awesome-ocr#MIT-1-ov-file |
| Please reload this page | https://github.com/DeepLearningCode/awesome-ocr |
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Activity | https://github.com/DeepLearningCode/awesome-ocr/activity |
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Custom properties | https://github.com/DeepLearningCode/awesome-ocr/custom-properties |
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forks | https://github.com/DeepLearningCode/awesome-ocr/forks |
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Report repository
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| Releases | https://github.com/DeepLearningCode/awesome-ocr/releases |
| Packages
0 | https://github.com/orgs/DeepLearningCode/packages?repo_name=awesome-ocr |
| Please reload this page | https://github.com/DeepLearningCode/awesome-ocr |
| Contributors | https://github.com/DeepLearningCode/awesome-ocr/graphs/contributors |
| Please reload this page | https://github.com/DeepLearningCode/awesome-ocr |
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