A Segmentation Algorithm used in Conjunction with Artificial Neural Networks for the Recognition of Real-World Postal Addresses
نویسندگان
چکیده
Artificial Neural Networks (ANNs) have been successfully applied for pattern recognition, speech recognition, control and other real world problems. This paper presents a method for segmentation of printed and difficult handwritten postal addresses. The segmentation algorithm is used to prepare raw training data for use with an Artificial Neural Network. The C programming language, the SP2 supercomputer and a SUN workstation were used for the experiments. The algorithm has been successfully tested on real world handwritten postal addresses. Some experimental results are presented in this paper.
منابع مشابه
A Neural Network for Real-World Postal Address Recognition
In this paper, we present a description of an implemented system for the recognition of printed and handwritten postal addresses, based on Artificial Neural Networks (ANNs). Two classification methods were compared for the task of character and address recognition. We compared two neural network techniques, measuring recognition rate and accuracy. The C programming language, a SUN workstation, ...
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