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A study on the implementation of user identification system using bioinfomatics  

문용선 (순천대학교 전자공학과)
정택준 (순천대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.6, no.2, 2002 , pp. 346-355 More about this Journal
Abstract
This study will offer multimodal recognition instead of an existing monomodal bioinfomatics by using face, lips, to improve the accuracy of recognition. Each bioinfomatics vector can be found by the following ways. For a face, the feature is calculated by principal component analysis with wavelet multiresolution. For a lip, a filter is used to find out an equation to calculate the edges of the lips first. Then by using a thinning image and least square method, an equation factor can be drawn. A voice recognition is found with MFCC by using mel frequency. We＇ve sorted backpropagation neural network and experimented with the inputs used above. Based on the experimental results we discuss the advantage and efficiency.
Keywords
biometics; recognition; identification; multimodal;
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