激光与光电子学进展, 2018, 55 (3): 031009, 网络出版: 2018-09-10
基于梯度方向直方图的人脸活体检测方法 下载: 2053次
Face Liveness Detection Method Based on Histogram of Oriented Gradient
图像处理 人脸活体检测 梯度方向直方图 直方图相交 支持向量机 image processing face liveness detection histogram of oriented gradient intersection of histogram support vector machine
摘要
人脸识别的身份认证环节可能受到照片、视频等手段的恶意欺骗。在分析了照片人脸成像后的非线性变化特点后,从人脸边缘信息的变化特征着手设计了一种基于图像处理的人脸活体检测新方法。用改进的梯度方向直方图描述人脸主要轮廓,同时结合正、负样本的统计特征训练支持向量机分类器进行活体检测,最后在NUAA人脸数据库上开展了实验验证,结果表明,本文方法对真假人脸的检测正确率达到了97%。
Abstract
Face recognition of identity authentication may be malicious fraud by photo, video, and other media. After analyzing the characteristics of non-linear changes in face image, we propose a new method of face liveness detection based on image processing according to the changes of edges in photo face and real face. The changes of face edges are described by the improved histogram of oriented gradient. Combining with the statistics characteristics of the positive and negative samples, the support vector machine classifier is trained to detect the liveness face. Finally, the new method is validated by the public NUAA human face database. The results show that the accuracy rate of the proposed method on true and false face detection reaches 97%.
孔月萍, 刘霞, 谢心谦, 李凤洁. 基于梯度方向直方图的人脸活体检测方法[J]. 激光与光电子学进展, 2018, 55(3): 031009. Yueping Kong, Xia Liu, Xinqian Xie, Fengjie Li. Face Liveness Detection Method Based on Histogram of Oriented Gradient[J]. Laser & Optoelectronics Progress, 2018, 55(3): 031009.