Face recognition using as authentication in intelligent office systems

doi:10.11772/j.issn.1001-9081.2014.05.1373

Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (5): 1373-1377.DOI: 10.11772/j.issn.1001-9081.2014.05.1373

• Artificial intelligence • Previous Articles Next Articles

Face recognition using as authentication in intelligent office systems

DENG Wenhong¹,ZHOU Zhongli²

1. Intelligent Control Development Center, Southwest Jiaotong University, Chengdu Sichuan 610031, China;
2. Instute of Image and Graphics, Sichuan University, Chengdu Sichuan 610064, China

Received:2013-11-12 Revised:2014-01-16 Online:2014-05-01 Published:2014-05-30
Contact: ZHOU Zhongli
Supported by:
National Natural Science Foundation

人脸签名在智能化办公系统中的身份认证应用

邓文红¹,周忠丽²

1. 西南交通大学智能控制开发中心，成都 610031
2. 四川大学图形图像研究所，成都 610064

通讯作者: 周忠丽
作者简介:邓文红（1969-），男，湖北安陆人，博士研究生，主要研究方向：智能信息处理；周忠丽（1973-），女，四川成都人，讲师，博士研究生，主要研究方向：图形与图像处理。
基金资助:
国家自然科学基金资助项目

Abstract

Abstract:

Face recognition was proposed to use as the authentication method to improve the security of the intelligent network-based office systems, especially security-sensitive systems. Using multi-component fusion algorithm, the proposed algorithm divided the face image into a series of primitive components, selected a statistically optimal parts from it, extracted the Local Binary Pattern (LBP) histogram feature, obtained the Linear Discriminant Analysis (LDA) transformation characteristics through the corresponding LDA transformation matrix, as the final characteristics of each component, and used a summing means to achieve the integration of the similarity of parts. This algorithm was used for user registration and identification of intelligent office systems. The experimental results show that the application of multi-component fusion face recognition has high precision and safety.

摘要：

为了提高基于网络的智能化办公系统特别是敏感系统的安全性，提出使用人脸识别作为智能化办公系统的身份认证方法。采用多部件融合的人脸识别算法，将人脸图像分成一系列基元部件，从中选取选择出具有统计最优的部件集合，提取其局部二值模式（LBP）直方图特征，通过对应的线性判别分析(LDA)变换矩阵得到LDA变换后的特征，作为每个部件的最终特征，并用求和的方式实现部件的相似度融合。将此算法应用于智能化办公系统的身份注册与识别，实验结果表明具有较高的精度与安全性。

CLC Number:

T391.41

DENG Wenhong ZHOU Zhongli. Face recognition using as authentication in intelligent office systems[J]. Journal of Computer Applications, 2014, 34(5): 1373-1377.

邓文红周忠丽. 人脸签名在智能化办公系统中的身份认证应用[J]. 计算机应用, 2014, 34(5): 1373-1377.

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Face recognition using as authentication in intelligent office systems

人脸签名在智能化办公系统中的身份认证应用

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