关键词: iOS平台, 人脸识别, OpenCV, 主成分分析, 线性判别分析

Abstract: A face recognition system based on the iOS platform is developed. The face detection is realized based on Haar-like features and AdaBoost algorithm by using OpenCV Library. The face detection algorithm combining the Principal Component Analysis（PCA） and Linear Discriminate Analysis（LDA） methods is proposed. The proposed algorithm can not only overcome drawbacks of the conventional PCA, which deals with the image regardless of primary or secondary information and without making use of the class information, but also decrease the limitation of large errors and small samples due to the large amount of computations in the LDA. Experiment results show that the designed system has good face recognition efficiency.

Key words: iOS platform, face recognition, OpenCV, Principal Component Analysis, Linear Discriminate Analysis