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http://dx.doi.org/10.5391/JKIIS.2014.24.6.622

Infrared Gait Recognition using Wavelet Transform and Linear Discriminant Analysis  

Kim, SaMun (Department of Control and Robotics Engineering, Chungbuk University)
Lee, DaeJong (Department of Control and Robotics Engineering, Chungbuk University)
Chun, MyungGeun (Department of Control and Robotics Engineering, Chungbuk University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.24, no.6, 2014 , pp. 622-627 More about this Journal
Abstract
This paper proposes a new method which improves recognition rate on the gait recognition system using wavelet transform, linear discriminant analysis and genetic algorithm. We use wavelet transform to obtain the four sub-bands from the gait energy image. In order to extract feature data from sub-bands, we use linear discriminant analysis. Distance values between training data and four sub-band data are calculated and four weights which are calculated by genetic algorithm is assigned at each sub-band distance. Based on a new fusion distance value, we conducted recognition experiments using k-nearest neighbors algorithm. Experimental results show that the proposed weight fusion method has higher recognition rate than conventional method.
Keywords
Gait recognition; Wavelet transform; Linear Discriminant Analysis; Genetic algorithm;
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