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Utilization of Content Base Image RetrievalTechnique Based Sketch for Facial Recognition

机译:利用基于内容的图像检索技术基于草图的人脸识别

摘要

As the rising up Including terrorist crimes in our society due to issues politics, economy, poverty, religion and ethnic conflicts. Many ways and techniques have been tried to crack down Reviews those crimes, but unfortunately the Efforts to seize person or group of suspected criminal is far from our expectation. Face recognition is one of techniques Introduced by many Researchers for the last Decades with many methods and approaches they tried to Recognize a person based on his or his faces. Some of the methods such as face recognition with Query by Example (QBE) using shape, color, and texture to match a query face with the face in the database; however the result is not good enough to Recognize the faces. One of the problems of face recognition by QBE is sometime we do not have a picture or a face image to the make QBE. In order to sort it out the problem, in this research we will try to introduce of face recognition method by generating a face image by a face sketch.Many sketch based face recognition was Introduced by some Researchers and experts, but most of reviews their methods have been applied directly inputting a sketch into a database the which is very costly and Involved a complex algorithm. In addition to the research, we are applying our proposed method compressed into face images, as the compressed images will save storage and unsumming the algorithm.
机译:随着政治,经济,贫穷,宗教和种族冲突等问题而在我们的社会中包括恐怖主义犯罪。已经尝试了多种方法和技术来严厉审查那些犯罪,但是不幸的是,抓住个人或团体可疑犯罪分子的努力远非我们的预期。人脸识别是近十年来许多研究人员引入的一种技术,他们尝试使用多种方法和方法基于人的面部表情来识别人。某些方法,例如使用形状,颜色和纹理通过示例查询(QBE)进行人脸识别,以将查询的人脸与数据库中的人脸进行匹配;但是结果不足以识别人脸。 QBE的面部识别问题之一是有时我们没有QBE的图片或面部图像。为了解决问题,在本研究中,我们将尝试通过通过人脸草图生成人脸图像来介绍人脸识别方法。一些研究人员和专家介绍了许多基于草图的人脸识别方法,但是大多数人都回顾了他们的方法。已经应用了将草图直接输入数据库的方法,这非常昂贵并且涉及复杂的算法。除了研究之外,我们还将所提出的方法压缩到面部图像中,因为压缩后的图像将节省存储空间,并且不对算法进行汇总。

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