Abstract
Currently, pattern recognition technique is widely applied in human identity recognition while there are shortages remaining in most kinds of such techniques. In order to overcome these problems, a novel algorithm is proposed to apply in identity recognition course in new field-static gait recognition field. Two combined features are going for static gait recognition: the distance between each part of center pressure and overall foot and the side length of outline triangle of human foot. Then through the comparison of different classifier, the best course for recognition can be obtained.
Highlights
With the development of science and technology, people tend to pay more attention on the convenience and effectiveness in daily life [1]
In recent years, growing numbers of identity recognitions based on the biological information are used in recognition fields [3]
For the pressure points, if the static gait pressure matrix is divided into two parts, the result will be the best when compared with the pressure points of three or more parts of sole combined with three outline points
Summary
With the development of science and technology, people tend to pay more attention on the convenience and effectiveness in daily life [1]. No matter for the physical feature recognition, the current biological feature recognition or even the contacting identity recognition, they all belong to short range recognition [8] These recognition methods do not suit some certain places which need secretive and long-range recognition course. Based on these situations, a new identity recognition which takes advantage of gait touching feature is proposed. Contrasted to some other recognition courses in physical and biological fields, the advantage of this study is: Different people have dissimilar pressure distribution when touching ground during their walking [12]. The course overcomes the shortages in the recognitions of physical and biological fields, as well as avoids the difficulty in feature extraction of some certain recognition methods. The potential application is an auxiliary and supplement of current recognition technology and can go into a deep level so as to become a sheltered identity recognition technology [14]
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