Comparison between local binary pattern histograms and principal component analysis algorithm in face recognition system

被引：0
|
作者：
Thakral, Abha [1 ]
Vohra, Akshat [1 ]
机构：
[1] Amity Univ Uttar Pradesh, Noida, India
来源：
PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES FOR SMART NATION (SMARTTECHCON) | 2017年
关键词：
PCA; LBPH; Eigenface; Histograms; Identification process; Face Recognition; Biometric;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In recent years, biometric recognition has become one of the aspects for security purposes throughout IT industries. For these systems, the developer has to implement one algorithm which is going to perform recognition part successfully. This paper shows the comparison between two main algorithms which are implemented on the systems for the best performance named "Principal Component Analysis" and "Local Binary Pattern Histogram". The comparison is based on different situations and environment around like the amount of light (artificial and natural), recognition at night time and direct sunlight.
引用
收藏
页码：973 / 978
页数：6
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