Recognition of unconstrained handwritten digits with neural networks
D.Ing. (Electrical and Electronic ) === This thesis describes a neural network based system for the classification of handwritten digits as found on real-life mail pieces. The proposed neural network uses a modular architecture which lends itself to parallel implementation. This modular architecture...
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2014
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| Online Access: | http://hdl.handle.net/10210/12799 |