A Survey of Gait Recognition Approaches Using PCA
Keywords:
Biometrics, Survey, Gait Recognition approaches
Abstract
Human identification by gait has created a great deal of interest in computer vision community due to its advantage of inconspicuous recognition at a relatively far distance. Biometric systems are becoming increasingly important, since they provide more reliable and efficient means of identity verification. Biometric gait Analysis (i.e. recognizing people from the way they walk) is one of the recent attractive topics in biometric research. It has been receiving wide attention in the area of Biometric. In Gait biometric research there are various gait recognition approaches are available. In this paper, the gait recognition approaches such as 201C;Wavelet Descriptor with ICA201D;, and 201C;Hough transform with PCA201D; are compared and discussed.
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Published
2012-01-15
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Copyright (c) 2012 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.