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A robust human face identification system

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2 Author(s)
Hirano, T. ; Graduate Sch. of Inf., Kogakuin Univ., Tokyo, Japan ; Nakamura, O.

A robust personal identification system which is adaptable for either rotated or tilted faces is presented. Computer simulation using 40 people shows 94.6% correct discrimination accuracy. From the experimental results, the prospects of using this method are very encouraging

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Electrical and Computer Engineering, 2000 Canadian Conference on  (Volume:2 )

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