Principle Component Analysis algorithm (PCA) for image recognition

摘要

This paper aims mainly to recognize the important of algorithm computing to identify the facial image without human intervention. Life in the current era imposed on us to increase the level of security and speed in the search for information, and the most important information is the capability of recognizing and identifying a person by his face. Principle Component Analysis algorithm (PCA) is a useful statistical technique used for finding patterns in data of high dimension and that has found application in face recognition and image compression fields that are used for reduce dimension vector to better recognize images.