Abstract

ABSTRACT User recognition technology, which identifies or verifies a cer tain individual is absolutely essential under robotic environme nts for intelligent services. The conventional face recognition algorithm using single distance face image as training images has a problem that face recognition rate decreases as distance increases. The face recognition algorithm using face images by actual distance as training images shows good performance but this has a problem that it requires user cooperation. This paper propos es the LDA-based long distance face recognition method which uses multiple distance face images from a zoom camera for training face images. The proposed face recognition technique generated better performance by average 7.8% than the technique using the existing single distance face image as training. Compared with the technique that used face images by distance as training, th e performance fell average 8.0%. However, the proposed method has a strength that it spends less time and requires less cooperation to users when taking face images.Keywords: Long Distance Face Recognition, Multiple Distance Face Image, Zoom Camera, Training Face Image

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