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ICDAR
2009
IEEE
13 years 3 months ago
Learning on the Fly: Font-Free Approaches to Difficult OCR Problems
Despite ubiquitous claims that optical character recognition (OCR) is a "solved problem," many categories of documents continue to break modern OCR software such as docu...
Andrew Kae, Erik G. Learned-Miller
ICDAR
2003
IEEE
13 years 11 months ago
Towards a Ptolemaic Model for OCR
In style-constrained classification often there are only a few samples of each style and class, and the correspondences between styles in the training set and the test set are un...
Sriharsha Veeramachaneni, George Nagy
CVPR
2010
IEEE
14 years 2 months ago
Improving State-of-the-Art OCR through High-Precision Document-Specific Modeling
Optical character recognition (OCR) remains a difficult problem for noisy documents or documents not scanned at high resolution. Many current approaches rely on stored font models...
Andrew Kae, Gary Huang, Erik Learned-miller, Carl ...
EMNLP
2010
13 years 3 months ago
Evaluating Models of Latent Document Semantics in the Presence of OCR Errors
Models of latent document semantics such as the mixture of multinomials model and Latent Dirichlet Allocation have received substantial attention for their ability to discover top...
Daniel David Walker, William B. Lund, Eric K. Ring...
ICPR
2010
IEEE
13 years 3 months ago
One-Vs-All Training of Prototype Classifier for Pattern Classification and Retrieval
Prototype classifiers trained with multi-class classification objective are inferior in pattern retrieval and outlier rejection. To improve the binary classification (detection, v...
Cheng-Lin Liu