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» Scalable Feature Extraction from Noisy Documents
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CBMS
2006
IEEE
14 years 1 months ago
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...
ICDAR
2007
IEEE
14 years 1 months ago
Exploiting Fisher Kernels in Decoding Severely Noisy Document Images
Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
J. Chen, Y. Wang
ICDAR
2005
IEEE
14 years 1 months ago
Text Extraction from Gray Scale Historical Document Images Using Adaptive Local Connectivity Map
This paper presents an algorithm using adaptive local connectivity map for retrieving text lines from the complex handwritten documents such as handwritten historical manuscripts....
Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju
ICDAR
2003
IEEE
14 years 21 days ago
Video text recognition using feature compensation as category-dependent feature extraction
When recognizing multiple fonts, geometric features, such as the directional information of strokes, are generally robust against deformation but are weak against degradation. Thi...
Minoru Mori
ICDAR
2003
IEEE
14 years 21 days ago
Fast Lexicon-Based Word Recognition in Noisy Index Card Images
This paper describes a complete system for reading typewritten lexicon words in noisy images - in this case museum index cards. The system is conceptually simple, and straightforw...
Simon M. Lucas, Gregory Patoulas, Andy C. Downton