Title :
Boosting-based transductive learning for text detection
Author :
Bargeron, David ; Viola, Paul ; Simard, Patrice
Author_Institution :
Microsoft Res., One Microsoft Way, Redmond, WA, USA
fDate :
29 Aug.-1 Sept. 2005
Abstract :
We present a promising new framework for improving boosting performance with transductive inference when training an automatic text detector. The resulting detector is fast and efficient, and it exhibits high accuracy on a large test set.
Keywords :
document image processing; inference mechanisms; learning (artificial intelligence); text analysis; automatic text detector; boosting-based transductive learning; text detection; transductive inference; Boosting; Detectors; Image databases; Image sensors; Layout; Machine learning; Noise robustness; Optical character recognition software; Testing; Text analysis;
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
Print_ISBN :
0-7695-2420-6
DOI :
10.1109/ICDAR.2005.59
