DOI: 10.36347/sjet.2021.v09i11.005

Pages: 247-261

In Gait recognition, identification of a person or human being from far distance is performed without any cooperation from his side. Its motive is to develop identification of human being using Gait recognition method which provides high security in places such as banks, military, parking slots, airports etc. Recognition of any individual is a task to identify people. Human recognition methods such as face, fingerprints, and iris generally require a cooperative subject, physical contact or close area. These methods are not able to recognize an individual at a distance therefore recognition using gait is relatively new biometric technique without these disadvantages. Human identification using Gait is method to identify an individual by the way he walk or manner of moving on foot. Gait recognition is a type of biometric recognition and related to the behavioral characteristics of biometric recognition. Gait offers ability of distance recognition or at low resolution. This thesis aims to recognize an individual using his gait features and proposed new method for Gait recognition using SVM and LDA with GAIT PAL and PAL ENTROPY technique. Different parameters are used such as distance between head and feet, distance between legs and one another additional parameter used by us is distance between hands. However the majority of current approaches are model free which is simple and fast but we will use model based approach for feature extraction and for matching of parameters with database sequences. After matching of parameters CCR (Correct Classification Rate) will be obtained using LDA (Linear Discriminant Analysis) and SVM (Support Vector Machine) technique. Some experimental results will show the effectiveness of proposed system.