[1]任小龙,苏光大,相 燕.使用第2代身份证的人脸识别身份认证系统[J].智能系统学报,2009,4(3):213-217.
REN Xiao-long,SU Guang-da,XIANG Yan.Face authentication system using the Chinese second generation identity card[J].CAAI Transactions on Intelligent Systems,2009,4(3):213-217.
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REN Xiao-long,SU Guang-da,XIANG Yan.Face authentication system using the Chinese second generation identity card[J].CAAI Transactions on Intelligent Systems,2009,4(3):213-217.
使用第2代身份证的人脸识别身份认证系统
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
4
期数:
2009年第3期
页码:
213-217
栏目:
学术论文—智能系统
出版日期:
2009-06-25
- Title:
- Face authentication system using the Chinese second generation identity card
- 文章编号:
- 1673-4785(2009)03-0213-05
- Keywords:
- face authentication; 2GID card; geometric normalization; eyeglasses removal; grayscale normalization; MMPPCA
- 分类号:
- TP391
- 文献标志码:
- A
- 摘要:
- 介绍了一种使用第2代身份证的新型人脸识别身份认证系统.该系统采用人脸的多部件融合与主成分分析（MMPPCA）方法.同时还使用各种图像处理方法如几何尺寸归一化、眼镜摘除与不同设备得到图像的灰度属性校正等提高系统性能.在实际数据库中的实验表明该系统在图像质量较低、光照情况不可控的情况下仍可达到比较高的正确率.由于第2代身份证广泛使用在公共安全、海关、银行及其他领域，因此这种使用第2代身份证的身份认证系统有很高的实用价值.
- Abstract:
- This paper presents a new face authentication system that was developed to use the Chinese second generation identity card (2GID card). A face recognition method based on multimodal parts and principal component analysis (MMPPCA) was adopted. Image preprocessing methods for various input devices, such as geometric normalization, glasses removal and grayscale normalization on a region of interest (ROI) were employed to improve the performance of the system. Experimental results on a real database proved that this authentication system can achieve acceptable results for recognition even though the resolution of the image is quite low and the illumination is uncontrolled. Because of the extensive application of 2GID card in public security, customs, banking and other areas, the proposed face authentication system using 2GID card has great practical value.
- 参考文献/References:
-
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［6］SU Guangda, ZHANG Cuiping, DING Rong, et al. MMPPCA face recognition method［J］. Electronics Letters, 2002, 38(25): 16541656
［7］DU Cheng, SU Guangda. Eyeglasses removal from facial images［J］. Pattern Recognition Letters, 2005, 26(14): 22152220.
［8］章柏幸, 苏光大. 人脸成像特性研究及人脸归一化的目标［J］. 光电子?激光, 2003, 14(4): 406410.
ZHANG Baixing, SU Guangda. Research on characteristic of facial imaging and goals of facial image normalization［J］. Journal of Optoelectronics ? Laser, 2003, 14(4): 406410.
［9］PHILLIPS P J, SCRUGGS W T, O’TOOLE A J, et al. FRVT 2006 and ICE 2006 LargeScale Results［EB/OL］. (20070310)［20080816］. http://www.frvt.org/FRVT2006/docs/FRVT2006andICE2006LargeScaleReport.pdf.
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备注/Memo
收稿日期：2008-09-16.
基金项目：十一五”国家科技支撑计划资助项目（2006BAK08B07）.
通信作者：任小龙.E-mail:rxl06@mails.tsinghua.edu.cn.
作者简介：任小龙，男，1983年生，硕士研究生，主要研究方向为人脸识别的硬件实现
苏光大，男，1948年生，教授，博士生导师.主要研究方向为图像识别（人脸识别、指纹识别）和高速图像处理，并致力于智能化的高速图像处理系统的研究.承担了多项国家级和省部级的重点科研任务.获省部级科技成果奖6次、多项发明专利、发明创业奖、发明展金奖，并3次获得清华大学先进个人称号.发表学术论文100余篇，出版专著2部.
相燕，女，1984年生，硕士研究生，主要研究方向为人脸识别算法.
更新日期/Last Update:
2009-08-31