利用二维傅立叶变换改进基于知识的文本字符识别方法

Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92 Pub Date : 1992-11-10 DOI:10.1109/TAI.1992.246411

A. T. Gumahad, N. Bourbakis

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引用次数: 1

摘要

一种称为水平-垂直投影(HVP)的非常规文本字符提取技术已被用于大量字母数字符号的特征提取。在较早的一篇论文中，基于一维傅里叶变换(FT)的分类算法被用于NVP。提出了一种替代的二维FT特征提取技术，并证明了该技术对一维方法的改进。

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Improving a knowledge based approach for recognition of typed text characters using a 2-D FT

A nonconventional text character extraction technique, called horizontal-vertical projection (HVP), has been used for feature extraction of numerous alphanumeric symbols. In an earlier paper a classification algorithm based on a 1-D Fourier transform (FT) was used with NVP. An alternative 2-D FT feature extraction technique is presented and shown to improve on the 1-D approach.<>

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Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92

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