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2 articles for “Kohonen self-organizing mapping neural network”
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Performance Comparison between Back-Propagation Learning and Kohonen Self-Organizing Neural Networks Algorithm in Terms of Pattern Recognition
Abstract: Pattern recognition using back-propagation learning and Kohonen self-organizing neural network algorithms has been developed and measured various performance based on different criteria and environment of the pattern. These pattern recognition systems have taken the object image as input. In image pre-processing stage, scaling and clipping process has been applied from the background image to avoid unnecessary portion of the object image. Feature extraction has been performed after applying filtering and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Gait Based Person Identification Using Kohonen Self-Organizing Mapping Technique
Abstract: Though gait recognition system has some special security features, it has some limitations like viewing angle variation, slow or fast walk and carrying a bag etc. This paper has an advantage of removing these limitations by using gait energy image with Kohonen self-organizing mapping technique. This model proposes the method that is developed by Partial least square (PLS) used for features selection and singular value decomposition (SVD) used for dimensionality …
Published in Current Trends in Information Technology · Vol. 5, Issue 2, 2015 · pp. 1–6 Read article