%0 Conference Paper %1 6065350 %A Coates, A. %A Carpenter, B. %A Case, C. %A Satheesh, S. %A Suresh, B. %A Wang, Tao %A Wu, D.J. %A Ng, A.Y. %B Document Analysis and Recognition (ICDAR), 2011 International Conference on %D 2011 %K character detection feature learning recognition text unsupervised %P 440 -445 %R 10.1109/ICDAR.2011.95 %T Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning %U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6065350&tag=1 %X Reading text from photographs is a challenging problem that has received a significant amount of attention. Two key components of most systems are (i) text detection from images and (ii) character recognition, and many recent methods have been proposed to design better feature representations and models for both. In this paper, we apply methods recently developed in machine learning -- specifically, large-scale algorithms for learning the features automatically from unlabeled data -- and show that they allow us to construct highly effective classifiers for both detection and recognition to be used in a high accuracy end-to-end system.

@inproceedings{6065350, abstract = {Reading text from photographs is a challenging problem that has received a significant amount of attention. Two key components of most systems are (i) text detection from images and (ii) character recognition, and many recent methods have been proposed to design better feature representations and models for both. In this paper, we apply methods recently developed in machine learning -- specifically, large-scale algorithms for learning the features automatically from unlabeled data -- and show that they allow us to construct highly effective classifiers for both detection and recognition to be used in a high accuracy end-to-end system.}, added-at = {2013-02-19T13:50:28.000+0100}, author = {Coates, A. and Carpenter, B. and Case, C. and Satheesh, S. and Suresh, B. and Wang, Tao and Wu, D.J. and Ng, A.Y.}, biburl = {https://www.bibsonomy.org/bibtex/2d09221e53d44755da9decb76af1b7839/asmelash}, booktitle = {Document Analysis and Recognition (ICDAR), 2011 International Conference on}, description = {IEEE Xplore - Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning}, doi = {10.1109/ICDAR.2011.95}, interhash = {adb17817e5f95605a8066737ce0e8b7e}, intrahash = {d09221e53d44755da9decb76af1b7839}, issn = {1520-5363}, keywords = {character detection feature learning recognition text unsupervised}, month = {sept.}, pages = {440 -445}, timestamp = {2013-03-17T21:45:02.000+0100}, title = {Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6065350&tag=1}, year = 2011 }