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http://dx.doi.org/10.13089/JKIISC.2014.24.6.1139

The Long Distance Face Recognition using Multiple Distance Face Images Acquired from a Zoom Camera  

Moon, Hae-Min (Chosun University)
Pan, Sung Bum (Chosun University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.24, no.6, 2014 , pp. 1139-1145 More about this Journal
Abstract
User recognition technology, which identifies or verifies a certain individual is absolutely essential under robotic environments 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 proposes 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, the 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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Times Cited By KSCI : 2  (Citation Analysis)
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