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Modeling of a Method of Cellular Technology Processing Systems and Pattern Recognition Images for Fast Recognition of Dynamic Images

机译:快速识别动态图像的细胞技术处理系统和模式识别图像方法的建模

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Supervised learning has been considered as a hot topic as it is used in different fields that can exploit the advantages of artificial intelligence. This research introduces a new approach using cellular technology for solving various problems of processing and pattern recognition images that are invariant to the orientation, scale, and dynamic changes in real time. On the basis of the notion of geometric type solved the problem of information selection elements in the image recognition of shapes, lines and laser processing of personal identification for handwritten text.
机译:监督学习被认为是一个热门话题,因为它被用于可以利用人工智能优势的不同领域。这项研究引入了一种新的方法,该方法使用蜂窝技术来解决实时定位,缩放和动态变化不变的各种处理和模式识别图像问题。基于几何类型的概念,解决了形状,线条的图像识别以及手写文本个人识别的激光加工中信息选择元素的问题。

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