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首页> 外文期刊>Journal of Engineering & Applied Sciences >The Comparison of Face Detection Methods in Angled Mode
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The Comparison of Face Detection Methods in Angled Mode

机译：角度模式中面部检测方法的比较

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摘要

The necessity to use the new technologies and carrying out more detailed studies based on identification of best methods in order to detect people's face with respect to modes and position angles in the image, prompted the researchers to further focus on this issue. What issue in the event of face detection is always intended as a question mark of full knowledge and ingenuity is to achieve results in line with targeting of scientific and security agencies. Therefore with increasing the risks of terrorism and the necessity to identify the suspect people in doing such actions, carrying out a comprehensive study in order to collect the most new face detection techniques is inevitable. In this study, we studied and compared five modern methods in face detection that include IWC-F, Eignfaces, Fuzzy-IWO, FLDA-PCA, Fuzzy-Ga, Fisherface. We evaluated these methods on the same terms and with the ORL standard dataset and presented the results in detail. In this study, we find that the Fisherface algorithm has better results than other algorithms in the presented database.
机译：使用新技术的必要性并在识别最佳方法的识别中进行更详细的研究，以便检测到图像中的模式和位置​​角度，促使研究人员进一步关注这个问题。脸部检测的事件中的哪些问题总是旨在作为完整知识的问号，并且聪明才智是通过科学和安全机构的目标实现结果。因此，随着恐怖主义的风险和确定嫌疑人们在做这些行动的必要性的情况下，进行全面的研究以收集最新的脸部检测技术是不可避免的。在这项研究中，我们研究并比较了五种现代方法，包括IWC-F，EIGNFACES，FUZZY-IWO，FLDA-PCA，模糊GA，渔店。我们在相同的术语和ORL标准数据集中评估了这些方法，并详细呈现了结果。在这项研究中，我们发现渔业曲款具有比所示数据库中的其他算法更好的结果。

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