A Neural Network for Real-World Postal Address Recognition
作者： Michael Blumenstein , Brijesh Verma
DOI: 10.1007/978-1-4471-0427-8_9
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摘要: In this paper, we present a description of an implemented system for the recognition printed and handwritten postal addresses, based on Artificial Neural Networks (ANNs). Two classification methods were compared task character address recognition. We two neural network techniques, measuring rate accuracy. The C programming language, SUN workstation, SP2 Supercomputer used experiments. has been successfully tested real world addresses. Some experimental results are presented in paper.
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