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DAS
2006
Springer
13 years 8 months ago
Combining Multiple Classifiers for Faster Optical Character Recognition
Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed tr...
Kumar Chellapilla, Michael Shilman, Patrice Simard
ICDAR
2009
IEEE
13 years 11 months ago
Rejection Strategies with Multiple Classifiers for Handwritten Character Recognition
With rejection strategies in a handwriting recognition system, we are able to improve the reliability and accuracy of the recognized characters. In this paper, we propose several ...
Xu-Cheng Yin, Hong-Wei Hao, Yun-Feng Tang, Jun Sun...
ICDAR
1999
IEEE
13 years 9 months ago
Combining Classifiers based on Confidence Values
This paper describes our investigation into the neural gas (NG) network algorithm and the hierarchical overlapped architecture (HONG) which we have built by retaining the essence ...
Ajantha S. Atukorale, Ponnuthurai N. Suganthan
ICDAR
2009
IEEE
13 years 11 months ago
Keyword Spotting in Document Images through Word Shape Coding
With large databases of document images available, a method for users to find keywords in documents will be useful. One approach is to perform Optical Character Recognition (OCR) ...
Shuyong Bai, Linlin Li, Chew Lim Tan
BMCBI
2005
134views more  BMCBI 2005»
13 years 4 months ago
Systematic feature evaluation for gene name recognition
In task 1A of the BioCreAtIvE evaluation, systems had to be devised that recognize words and phrases forming gene or protein names in natural language sentences. We approach this ...
Jörg Hakenberg, Steffen Bickel, Conrad Plake,...