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Ancient Indian Scripts Image Pre-Processing and Dimensionality Reduction for Feature Extraction and Classification: A Survey

机译:古代印度文字图像预处理和降维以进行特征提取和分类的调查

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Engravings, inscriptions and epigraphs were used from archaic era to preserve knowledge and the great sayings. Diversified scripts are used in writing languages across the globe, in such an environment it is necessary to understand the script and the languages in the images or document prior to selecting an apt character detection and document analysis or prehistoric inscription analysis algorithm. Numerous methods for the automatic character identification and script recognition have been recommended so far. This manuscript is a terse survey on the image priorprocessing techniques, segmentation techniques and feature extraction and classification via dimensionality reduction techniques. Broad research has previously been done in this domain but the ancient inscription character recognition is still challenging and needs more efficient techniques. This review will serve as basis for the preliminarily to image preprocessing and the efficacy of dimensionality reduction approaches in feature and classification.
机译:雕刻,题词和题词来自古时代,用以保存知识和名言。在全球范围内使用多种脚本编写语言,在这种环境下,必须先选择图像或文档中的脚本和语言,然后再选择合适的字符检测和文档分析或史前铭文分析算法。到目前为止,已经推荐了许多用于自动字符识别和脚本识别的方法。该手稿是对图像预处理技术,分割技术以及通过降维技术进行特征提取和分类的简要概述。以前已经在这一领域进行了广泛的研究,但是古老的铭文字符识别仍然具有挑战性,需要更有效的技术。这篇综述将作为初步的图像预处理以及降维方法在特征和分类方面的有效性的基础。

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