计算机与数字工程2016，Vol.44Issue(11)：2110-2112,2143,4.DOI:10.3969/j.issn.1672-9722.2016.11.002
PCA人脸识别算法的优化❋
Improvement of Human Face Recognition Algorithm Based on PCA
摘要
Abstract
With the rapid development of biometrics,human face recognition technology has become a research hotspot. PCA algorithm is one of the most adopted algorithms for human face recognition,and has gained wide recognition for its high identification speed and accuracy.Conversely,with external interference factors,traditional PCA algorithm is affected in its identification efficiency.The results of the present experiment indicate that identification accuracy and anti-jamming of algo-rithm are improved through combining with Adaboost algorithm and adopting three pretreatment methods in original image processing:de-noise processing,histogram equalization and histogram normalization.The experiment result shows that the i-dentification of improved PCA has increased 10% than traditional PCA algorithm,and identification speed has increased 30%.关键词
生物识别技术/人脸识别/主成分分析算法/识别率Key words
biometrics/face identification/PCA algorithm/identification efficiency分类
信息技术与安全科学引用本文复制引用
任安虎,王磊..PCA人脸识别算法的优化❋[J].计算机与数字工程,2016,44(11):2110-2112,2143,4.基金项目
陕西科学技术研究发展计划项目(编号:2014K05-19) （编号:2014K05-19）
西安工业大学校长基金(编号:XAGDXJJ1214)资助。 （编号:XAGDXJJ1214）
