Systematic Linear Word String Recognition and Evaluation Technique

Konjengbam Dollar Singh, Syed Thouheed Ahmed
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引用次数: 15

Abstract

As a proverb goes, “A Picture speaks more than a word”. The influence of a picture on any given information is predominant and has extra mileage in representing the information. In this paper, a linear model of word recognition is proposed using the image datasets. The proposed model is evaluated on primary datasets of UCL repository, the results are processed using MATLAB and the recognition ratio is effective compared to the previous approaches. Typically, the proposed technique is an optimized solution for word string extraction from a given image data-samples.
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正如一句谚语所说,“一幅画胜过一个词”。图片对任何给定信息的影响是主要的,并且在表示信息方面具有额外的里程。本文提出了一种基于图像数据集的词识别线性模型。在UCL知识库的原始数据集上对该模型进行了评估,并利用MATLAB对结果进行了处理,结果表明,该模型的识别率与之前的方法相比是有效的。通常,所提出的技术是从给定图像数据样本中提取字串的优化解决方案。
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