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识别的招牌果鲁穆奇语的图像

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最近有越来越多的趋势在全世界的研究人员认识到手写字符的许多语言和脚本。大部分研究工作是用英语完成的,中国和日本喜欢语言。然而,在印度脚本,研究工作相对滞后。印度其他脚本的工作在开始阶段。我提出了本文工作的孤立的手写数字识别Gurumukhi脚本。在数字,手写的样品从不同的作家被认为是10位数。我所有这些样本在白皮书写在一个孤立的方式。认识到数字使用的数据集是来自15个不同作家贡献10个样本的每个数字。扫描后,在预处理阶段,样品都转换为灰度图像。然后灰度图像转换成二进制图像。 I also applied median filtration, dilation, removal of noise having less than 30 pixels, some morphological operations to bridge unconnected pixels, to remove isolated pixels, to smooth pixel boundary, and to remove spur pixels. We segmented these samples in isolated and clipped images of each character based on white spaced pixels used for separation. In this paper, I have proposed recognition of isolated handwritten numerals of Gurumukhi script. In numerals, handwritten samples of 10 digits from different writers are considered. I have taken all these samples on white papers written in an isolated manner. The dataset used to recognize numerals is collected from 15 different writers each contributing 10 samples of each digit.

Er。kaur医学院毕业,Er。Balwinder辛格

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