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首页> 外文会议>International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA 2009) >Robust person identification with face and iris by modified PUM method
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Robust person identification with face and iris by modified PUM method

机译：改进的PUM方法对人脸和虹膜进行可靠的人识别

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摘要

In previous works, we have applied the modified PUM method in face recognition and demonstrated the effectiveness of this method for deal with partial occlusion and distortion. Based on the similitude between the face features and iris features, this paper proposes a new method for person recognition by the combining of iris and face. This new method combines the iris and face features as a new feature for representing persons and then acts the modified PUM on the new features for recognition. Generally, the iris features, however, is more reliable than the face features. Hence the iris feature should be given a higher weight. For this, this paper further improves the method to form a better strategy for combining the face and iris on recognition. The new improved approach has been evaluated on combined-face and iris databases, using face testing images subjected to various types of partial distortion and occlusion. The new system has demonstrated improved performance over other systems.
机译：在以前的工作中，我们将改进的PUM方法应用于人脸识别，并证明了该方法在处理部分遮挡和失真方面的有效性。基于人脸特征与虹膜特征的相似性，提出了一种结合虹膜与人脸的人识别新方法。这种新方法将虹膜和面部特征组合为代表人物的新特征，然后将修改后的PUM应用于新特征以进行识别。通常，虹膜特征比面部特征更可靠。因此，应该给虹膜特征更大的权重。为此，本文进一步改进了方法，以形成一种更好的将面部和虹膜结合在一起的识别策略。使用经过各种类型的部分失真和遮挡的面部测试图像，已在组合的面部和虹膜数据库上对新的改进方法进行了评估。新系统已展示出比其他系统更高的性能。

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