Face Recognition Based on the Combination of Histogram Features and Rough Location Information of Facial Parts

摘要：

In this paper,an improved face recognition algorithm based on adjacent pixel intensity difference quantization (APIDQ) histogram method is proposed.By utilizing the rough location information of the facial parts,the facial area is divided into 5 individual parts,and then APIDQ is applied on each facial component.Recognition results are firstly obtained from different parts separately and then combined by weighted averaging.The experimental result shows that top 1 recognition rate of 97.6％ is achieved when evaluated by FB task of the FERET database.

作者: Feifei Lee Koji Kotani Qiu Chen Tadahiro Ohmi

作者单位: New Industry Creation Hatchery Center,Tohoku University Department of Electronics,Graduate School of Engineering,Tohoku University

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）