Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Awesome-Scene-Text-Recognition
A curated list of resources dedicated to scene text localization and recognition
https://github.com/chongyangtao/Awesome-Scene-Text-Recognition
- 2015-PAMI
- 2014-Front.Comput.Sci
- 2016-IJCV, [M. Jaderberg
- 2016-CVPR, [A Gupta - me/SynthText) [`data`](http://www.robots.ox.ac.uk/~vgg/data/scenetext/)
- 2015-ICLR, [M. Jaderberg
- 2015-D.Phil Thesis, [M. Jaderberg
- `paper`
- 2014-ECCV, [M. Jaderberg - features-for-text-spotting)
- 2014-NIPS, [M. Jaderberg
- `paper`
- 2016-AAAI
- 2016-TIP
- 2014-ECCV
- 2016-CVPR
- 2016-CVPR
- 2015-CoRR
- 2012-ICPR, [Wang - to-End Text Recognition with Convolutional Neural Networks [`paper`](http://www.cs.stanford.edu/~acoates/papers/wangwucoatesng_icpr2012.pdf) [`code`](http://cs.stanford.edu/people/twangcat/ICPR2012_code/SceneTextCNN_demo.tar) [`SVHN Dataset`](http://ufldl.stanford.edu/housenumbers/)
- 2012-PhD thesis, [David Wu - to-End Text Recognition with Convolutional Neural Networks [`paper`](http://cs.stanford.edu/people/dwu4/HonorThesis.pdf)
- 2018-CVPR
- 2018-IJCAI
- 2018-AAAI
- 2018-AAAI
- `code`
- 2017-arXiv
- 2017-arXiv
- 2017-ICCV
- 2017-ICCV
- 2017-arXiv
- 2017-CVPR
- 2017-arXiv
- 2017-arXiv
- 2017-CVPR
- 2017-CVPR
- 2017-arXiv
- 2017-AAAI
- `paper`
- `code`
- 2016-CVPR
- 2016-arXiv
- 2016-arXiv
- 2015 ICDAR
- 2014-TPAMI - att/index.html) [`code`](https://github.com/almazan/watts)
- `MLT 2017`
- `COCO-Text (Computer Vision Group, Cornell)`
- `COCO-Text API`
- `Synthetic Word Dataset (Oxford, VGG)`
- `download`
- `IIIT 5K-Words`
- `download`
- `StanfordSynth(Stanford, AI Group)`
- `download`
- `MSRA Text Detection 500 Database (MSRA-TD500)`
- `Street View Text (SVT)`
- `KAIST Scene_Text Database`
- `Chars74k`
- ICDAR 2015 - library/manual/10735/paper-icon_1150845_tmb.jpg)](http://rrc.cvc.uab.es/files/Robust-Reading-Competition-Karatzas.pdf)|
- ICDAR 2013 - library/manual/10735/paper-icon_1150845_tmb.jpg)](http://dagdata.cvc.uab.es/icdar2013competition/files/icdar2013_competition_report.pdf)|
- ICDAR 2011 - library/manual/10735/paper-icon_1150845_tmb.jpg)](http://www.iapr-tc11.org/archive/icdar2011/fileup/PDF/4520b491.pdf)|
- ICDAR 2005 - library/manual/10735/paper-icon_1150845_tmb.jpg)](http://www.academia.edu/download/30700479/10.1.1.96.4332.pdf)|
- ICDAR 2003 - library/manual/10735/paper-icon_1150845_tmb.jpg)](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.332.3461&rep=rep1&type=pdf)|
- 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 - anpr)
- Using deep learning to break a Captcha system
- Breaking reddit captcha with 96% accuracy
- Scene Text Recognition in iOS 11
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