Invariant Radon-Moment Descriptor for Postal Applications

M. Miciak
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引用次数: 0

Abstract

Abstract In this article a new solution of handwritten digits recognition system for postal applications is presented. Moreover, in this paper, a new approach of handwritten characters recognition was presented. The implemented algorithm is applied to recognition of postal items on the basis of postcode information. In connection with this article the research was carried with all digit characters used in authentic zip code of various mail pieces. Additionally, the paper contains some preliminary image processing for example normalization of the character. The main objective of this article is to use the Radon Transformation and other moments values to obtain an invariant set of character image features, on basis of which postal code will be classified. The reported experiments results prove the effectiveness of the proposed method. Furthermore, causes of errors as well as possible improvement of recognition results will be presented.
邮政应用的不变氡矩描述子
本文提出了一种邮政手写数字识别系统的新方案。此外,本文还提出了一种新的手写体字符识别方法。将实现的算法应用于基于邮编信息的邮政物品识别。在连接这篇文章的研究进行了所有数字字符使用的真实邮政编码的各种邮件件。此外,本文还进行了一些初步的图像处理,如字符的归一化等。本文的主要目的是利用Radon变换和其他矩值得到一组不变的字符图像特征,并以此为基础对邮政编码进行分类。实验结果证明了该方法的有效性。在此基础上,提出了误差产生的原因,并对识别结果进行了改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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