A Novel Approach of Gait Recognition Using LDA, PAL and Neural Network Technique
Gait recognition is one type of biometric technology that can be used to the monitor person without their any cooperation. Controlled atmospheres for example; military installations, banks and even airports required to be able to rapidly detect threats and give differing stages of access to various customer groups. Gait presents a specific way or moving manner on the foot and gait recognition is the recognizing procedure an individual through the manner in which they walk. Gait analysis is mainly referred to human locomotion study. From the surveillance view point behavioral recognition and biometrics at a distance are becoming more famous in researchers rather than physiological and interactive biometrics. In this paper, a time effective Human gait identification scheme is proposed. Human gait recognition is a distance based behavioral biometric feature. It is relatively a novel area being studied currently mostly because it is Unobtrusive. This paper presents a survey of various techniques used for recognition of a person based on different activities such as walking style. And also this paper considering a new human gait recognition system based on the Radon transform which provide a high precision recognition rate. For human identification with applying Gait Recognition algorithm which is based on PAL, LDA (Linear Discriminant Analysis) and PAL entropy and NN (Neural Network Technique). Our enhanced human identification applying Gait Recognition algorithm is low cost and more accurate. Our enhanced human identification using Gait Recognition algorithm is fast and thus saves time.
Keywords: Biometrics, Gait, Gait Recognition Approaches
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