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METHOD AND SYSTEM FOR RECOGNISING FACES BASED ON LIST OF PEOPLE NOT SUBJECT TO VERIFICATION

机译:基于不经过验证的人员列表的识别面孔的方法和系统

摘要

FIELD: physics; signaling.;SUBSTANCE: invention relates to biometric systems for personal identification from a facial image. In the method a collection of images of "negative" people - those people who are not subject to verification is created. A collection is created for known persons with conversion of the facial image into an internal presentation applied for recognition algorithms realised in the method. The face of a person is detected on an input image. A segmented region containing the face is prepared for recognition through standardisation of the position of the face in accordance with the position of eyes. Scaling to given dimensions is done, as well as standardisation of intensity. Fundamental face recognition algorithms which can calculate similarities between two images are executed. A subset of "negative" faces is selected and then used to determine a new recognition algorithm. A new recognition algorithm is created based on conversion of degree of proximity of the fundamental algorithm based on the created collection of "negative" faces. Recorded images are classified into a set. The system realises the said method.;EFFECT: personal identification in non-uniform illumination conditions and for a wide range of angular displacement of faces on an image.;2 cl, 4 dwg
机译:领域:物理学;发明内容本发明涉及用于从面部图像进行个人识别的生物识别系统。在该方法中,创建了“负”人的图像集合-无需验证的人。通过将面部图像转换为内部表示形式来为已知人员创建一个集合,该内部表示形式用于该方法中实现的识别算法。在输入图像上检测到人的脸。通过根据眼睛的位置标准化面部的位置,准备包含面部的分割区域以进行识别。缩放到给定的尺寸,以及强度的标准化。执行可以计算两个图像之间相似度的基本面部识别算法。选择“负”脸的子集,然后将其用于确定新的识别算法。基于基于所创建的“负”脸部集合的基本算法的接近度转换,创建了一种新的识别算法。记录的图像被分类为一组。该系统实现了所述方法。效果:在不均匀照明条件下以及在图像上人脸的大角度位移范围内的个人识别; 2 cl,4 dwg

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