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Barcode Representation of Face Image Combining LGFA and Windowing Technique

机译：结合LGFA和窗口技术的面部图像条形码表示

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摘要

This paper represents a novel work for standard type rectilinear barcode from illumination invariant confront pictures. This method finds out the qualification in slopes of picture sparkle utilizing LGFA and Windowing technique, at that point, it requires discovering normal of the angles into a limited number of interims utilizing standardization. After this, the aftereffect of quantization is changed over into the breaking points of decimal digits from zero to nine and the chart is converted into an extreme straight standardized identification. Surely, the present strategy creates the quality sort direct EAN-8 standardized tag of the best piece of face picture. In any case, in the present work, a system which is proposed to extract edge-based information utilizing LGFA and window method. LGFA helps us to generate gradient information from illumination invariant face image and by using the windowing technique; we scan the input image horizontally and take the upper 75% and 70% of the gradients. The barcode for these two cases are extracted from face images of five datasets, and it is found that the present technique is useful to account, discovery, acknowledgment and look for people in a group.
机译：本文代表了来自照明不变的对抗图片的标准型直线条码的新颖作品。该方法在该方法发现利用LGFA和窗口技术的闪光倾斜的资格，目前，它需要发现利用标准化的有限数量的临时角度地发现角度的正常角度。在此之后，量化的后缺陷被改变为从零到九个的十进制数字的断开点，并且该图表被转换为极端的直线标准化识别。当然，目前的策略创造了最佳脸部图片的质量分类直接Iean-8标准化标签。在任何情况下，在本作的工作中，建议利用LGFA和窗口方法提取基于边缘的信息的系统。 LGFA有助于我们从照明不变性面部图像和使用窗口技​​术生成渐变信息;我们水平扫描输入图像，并占据梯度的75％和70％。这两种情况的条形码是从五个数据集的面部图像中提取的，并且发现本技术可用于审查，发现，确认和寻找组中的人。

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