一种新的基于熵的人脸定位算法

Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005. Pub Date : 2005-12-21 DOI:10.1109/ISSPIT.2005.1577114

S. Alirezaee, K. Faez, H. Rashidy Kanan, H. Aghaeinia

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引用次数: 0

摘要

在单个图像中检测和定位人脸是几乎所有人脸识别系统中最重要的部分。人脸定位的目的是确定人脸的图像位置，用于护照、驾照、身份证等证件的验证。本文提出了一种基于熵的图像高信息区域检测方法，这些高信息区域包括眼睛、嘴巴、鼻子等。在这一阶段的识别得到的区域被送到特征提取和分类阶段。该方法已在ORL数据库上进行了测试。实验结果表明，该方法在最大为25 dBw的高斯白加性噪声下具有良好的人脸检测和定位效果。在现有的ORL数据集中，我们的人脸检测的定位率达到了99.75%，这意味着1张以上的ORL人脸缺失

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A new entropy-based algorithm for face localization

Detecting and localizing a face in a single image is the most important part of almost all face recognition systems. Face localization aims to determine the image position of a face for verification purpose of documents such as passport, driving license, ID cards, etc. In this paper an entropy-based method is proposed for detecting the high information region of the image, which may include eyes, mouth, nose, etc. The derived regions in this stage of recognition are sent to feature extraction and classification phase. The method has been tested on the ORL database. The results show the effectiveness and robustness of the proposed method for face detection and localization in presence of white additive Gaussian noise up to 25 dBw. We have achieved localization rate 99.75% for detection of faces in the ORL data set that we had which means 1 miss over 400 ORL faces

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Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.

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