模糊逻辑和专家系统在阿拉伯字符识别中的结合

O. Hachour
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引用次数: 9

摘要

本文研究了模糊逻辑(FL)和专家系统(ES)理论对解决光学字符识别问题的贡献。这些理论提高了与各种形状相关的学习和适应能力,其中信息是定性的,不准确的或不完整的。使用FL和ES这些技术证明了识别所有阿拉伯字符是有趣的、有效的和必要的。这种组合对于提高混合智能系统在OCR领域的强大功能是非常有益的。这种组合(FL, ES)的主要目标是对所有呈现的未知形状进行分类和识别。这些理论必须完成以下任务:对字符进行分类,并通过ES_FL系统捕获人类专家知识的行为来实现智能识别。该训练使用了ACR(阿拉伯字符识别)数据库的280张下降图片。ACR数据库得到的结果是有希望的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Combination of Fuzzy Logic and Expert System for Arabic Character Recognition
In this paper fuzzy logic (FL) and expert system (ES) theories are studied with regard to their contribution to solving the problem of OCR (optical character recognition). These theories have improved the learning and adaptation capacities related to varying shapes where information is qualitative, inaccurate or incomplete. The use of these technologies FL and ES proves interesting, efficient, and necessary to recognize all Arabic character. This combination is very useful to improve the powerful of hybrid intelligent systems HIS in the field of OCR. The primary goal of this combination (FL, ES) is to classify and to recognize all presented unknown shapes. These theories must achieve these tasks: to classify characters, and to make ones way of intelligent recognition by ES_FL system capturing the behaviour of a human expert knowledge. The training has used 280 descended pictures of the database of ACR (Arabic character recognition). The results gotten of ACR databases are promising
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