Computer Model for Disguishing Asian People by Face

B. Erdene, T. Ganbat
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Abstract

In this paper we aim to create new effective computer model for distinguishing Asian people by their face using frontal face part color, size and distances based on comparative research about image processing and face recognition. It is difficult to determine face part size and distance due to image quality, lighting condition, rotation angle and facial emotion. Hence, first we need to detect face on the image then convert image into real input. After that we can determine image candidate's gender, face shape, key points and face parts. Finally, we will return the result, based on comparison of sizes and distances with the sample's measurement table database. While we were measuring samples, there were big differences between images by their gender and face shapes. Input images must be the frontal face image that has smooth lighting and does not have any rotation angel. The model can be used in military, police, defense, health care, and technology sectors.
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用电脑模型伪装亚洲人的脸
本文在对图像处理和人脸识别技术进行比较研究的基础上,利用人脸的正面颜色、大小和距离来建立有效的亚洲人人脸识别计算机模型。由于图像质量、光照条件、旋转角度和面部情绪等因素,人脸部分的大小和距离难以确定。因此,我们首先需要检测图像上的人脸,然后将图像转换为实际输入。然后确定图像候选人的性别、脸型、关键点和面部部位。最后,我们将根据尺寸和距离与样本的测量表数据库的比较返回结果。我们在测量样本时发现,不同性别和脸型的图像之间存在很大差异。输入图像必须是具有平滑光照且没有任何旋转角度的正面图像。该模型可用于军事、警察、国防、卫生保健和技术部门。
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