Error analysis of a hybrid multiple classifier system for recognizing unconstrained handwritten numerals
Since the early 1990s, many research communities, amongst the pattern recognition and machine learning, have shown a growing interest in Multiple Classifier Systems (MCSs), particularly for the recognition of handwritten words and numerals. This thesis is divided into two parts. First, we construct...
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2005
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| Online Access: | http://spectrum.library.concordia.ca/8493/1/MR10287.pdf He, Chun Lei <http://spectrum.library.concordia.ca/view/creators/He=3AChun_Lei=3A=3A.html> (2005) Error analysis of a hybrid multiple classifier system for recognizing unconstrained handwritten numerals. Masters thesis, Concordia University. |
Internet
http://spectrum.library.concordia.ca/8493/1/MR10287.pdfHe, Chun Lei <http://spectrum.library.concordia.ca/view/creators/He=3AChun_Lei=3A=3A.html> (2005) Error analysis of a hybrid multiple classifier system for recognizing unconstrained handwritten numerals. Masters thesis, Concordia University.