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首页> 外文期刊>International Journal of Electrical and Computer Engineering >Template Matching Method for Recognition of Stone Inscripted Kannada Characters of Different Time Frames Based on Correlation Analysis
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Template Matching Method for Recognition of Stone Inscripted Kannada Characters of Different Time Frames Based on Correlation Analysis

机译：基于相关分析的不同时空石刻卡纳达语字符识别模板匹配方法

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摘要

Stone inscripted literature speaks about the history, language of different regions of the world. Preservation of such document through digitalization process is become very important. To stop degradation and missing further, the analysis of the same will through light on historical events of that region. In this connection present work proposes a simple method of digitization using ordinary digital camera further, the pre-processing algorithm is implemented to enhance the image and improve the readability. Here it recognizes the Kannada characters based on template matching. In this method is normally implemented by first picking template and then it call the search image, then by simply comparing the template over each point in the search image and it calculate the sum of products between the coefficient. Based on this calculated product value it recognizes the character. Cross correlation technique is implemented in matching the characters coefficient. Experimental results shows, it demonstrates relatively high accuracy in recognizing Stone inscriptions characters of both Hoysala, Ganga time frames and with better time efficiency when compared to previous methods.
机译：石刻的文学讲述了世界不同地区的历史和语言。通过数字化过程保存此类文档变得非常重要。为了阻止退化和进一步消失，将通过对该地区的历史事件进行分析。在这方面，本发明还提出了一种使用普通数码相机的简单数字化方法，该预处理算法被实施以增强图像并提高可读性。它在此基于模板匹配识别卡纳达语字符。在这种方法中，通常是先选择模板，然后调用搜索图像，然后简单地在搜索图像中的每个点上比较模板，然后计算系数之间的乘积之和，以实现此方法。基于此计算出的产品值，它可以识别字符。通过匹配字符系数来实现互相关技术。实验结果表明，与以前的方法相比，该方法在识别Hoysala，Ganga时间范围的石刻文字方面具有较高的准确性，并且具有更高的时间效率。

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