- 論文
- End-to-End Text Recognition with Convolutional Neural Networks
- Word Spotting and Recognition with Embedded Attributes
- Deep structured output learning for unconstrained text recognition
- Deep Features for Text Spotting
- Reading Text in the Wild with Convolutional Neural Networks
- End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
- COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
- Strokelets: A Learned Multi-Scale Mid-Level Representation for Scene Text Recognition
- Object Proposals for Text Extraction in the Wild
- 解説・チュートリアルブログ
必要な気がしてまとめました。現在は文字領域を物体認識と同じ要領で切り取ってから文字を認識、といった形が最も強いのかな。 ただ手書き文字認識とか色々ごっちゃになってまとまりがない...。
論文
End-to-End Text Recognition with Convolutional Neural Networks
pdf: ここ
Wang, Tao, et al. "End-to-end text recognition with convolutional neural networks." Pattern Recognition (ICPR), 2012 21st International Conference on. IEEE, 2012.
Word Spotting and Recognition with Embedded Attributes
Almazán, Jon, et al. "Word spotting and recognition with embedded attributes." IEEE transactions on pattern analysis and machine intelligence 36.12 (2014): 2552-2566.
Deep structured output learning for unconstrained text recognition
Jaderberg, Max, et al. "Deep structured output learning for unconstrained text recognition." arXiv preprint arXiv:1412.5903 (2014).
Deep Features for Text Spotting
Jaderberg, Max, Andrea Vedaldi, and Andrew Zisserman. "Deep features for text spotting." European conference on computer vision. Springer International Publishing, 2014.
http://gitxiv.com/posts/uB4y7QdD5XquEJ69c/deep-features-for-text-spotting
Reading Text in the Wild with Convolutional Neural Networks
pdf: [1412.1842] Reading Text in the Wild with Convolutional Neural Networks
Jaderberg, Max, et al. "Reading text in the wild with convolutional neural networks." International Journal of Computer Vision 116.1 (2016): 1-20.
コード: Visual Geometry Group Home Page
End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
Shi, Baoguang, Xiang Bai, and Cong Yao. "An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition." arXiv preprint arXiv:1507.05717 (2015).
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
pdf: [1601.07140] COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Veit, Andreas, et al. "COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images." arXiv preprint arXiv:1601.07140 (2016).
Strokelets: A Learned Multi-Scale Mid-Level Representation for Scene Text Recognition
pdf: ここ
Bai, Xiang, Cong Yao, and Wenyu Liu. "Strokelets: A Learned Multi-Scale Mid-Level Representation for Scene Text Recognition." IEEE Transactions on Image Processing 25.6 (2016): 2789-2802.
Object Proposals for Text Extraction in the Wild
Gomez, Lluis, and Dimosthenis Karatzas. "Object proposals for text extraction in the wild." Document Analysis and Recognition (ICDAR), 2015 13th International Conference on. IEEE, 2015.
pdf: [1509.02317] Object Proposals for Text Extraction in the Wild
