Reliable recognition of handwritten digits using a cascade ensemble classifier system and hybrid features

Aiming at a high recognition rate and a low error rate at the same time, a cascade ensemble classifier system is proposed for the recognition of handwritten digits. The tradeoff among the error, rejection and recognition rates of the recognition system is analyzed theoretically. Three solutions are...

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Bibliographic Details
Main Author: Zhang, Ping
Format: Others
Published: 2006
Online Access:http://spectrum.library.concordia.ca/8904/1/NR16288.pdf
Zhang, Ping <http://spectrum.library.concordia.ca/view/creators/Zhang=3APing=3A=3A.html> (2006) Reliable recognition of handwritten digits using a cascade ensemble classifier system and hybrid features. PhD thesis, Concordia University.