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- W2349202565 abstract "Optical Character Recognition can be a trivial task for humans,but to make a computer system that does character recognition is very difficult.Automated character recognition is of vital importance in many industries such as banking,shipping,commerce,communica-tions,license plate recognition,etc.Due to the great importance and promising future of this field,the objective of this work has been to develop a system able to recognize English machine printed characters.Throughout this work we show the approach used to develop this kind of system,which uses a Multilayer Neural Network trained with the supervised algorithm: Back-propagation.After many experiments we have done with the system,we adjust the network to get optimum results.Finally,we get a system that can recognize printed characters of several fonts and with considerable accuracy and a performance.In the last section we discuss the conclusions and future work." @default.
- W2349202565 created "2016-06-24" @default.
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- W2349202565 date "2009-01-01" @default.
- W2349202565 modified "2023-10-06" @default.
- W2349202565 title "Machine Printed Character Recognition System Using Backpropagation Neural Network" @default.
- W2349202565 hasPublicationYear "2009" @default.
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