01555nas a2200181   4500008004100000245008300041210006900124260000900193300001400202490000700216520090000223653002401123653002101147653004001168653003301208100001501241856011701256       2013                        eng d00aDigital information facial recognition based on PCA and its improved algorithm0 aDigital information facial recognition based on PCA and its impr  c2013  a390 - 3950 v113 aFace recognition (PCA algorithm) based on principal component analysis method is a classic algorithm of digital information face recognition. This paper first analyzes the PCA algorithm and its basic principles. And in view of the shortage that it is affected by its subject facial expression changes and other factors, it designs the improved PCA algorithm, namely adding the image enhancement processing method, such as the local mean and standard deviation, to the original algorithm to increase the robustness of human face illumination and facial expression change during recognition. In addition, verify it on ORL face database and the results show that the improved PCA algorithm can get a higher resolution of the human face and up to 81.59% accuracy rate. The average growth of time-consuming is 0.378 seconds compared to traditional algorithms, and it is a fruitful improved algorithm.10aDigital information10aFace recognition10aImage enhancement processing method10aPrincipal component analysis1 aZhu, H.-F.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84890454789&partnerID=40&md5=9180e88599a60f794e63948a9a7036db