Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Date Added: Jun 2014
Identifying individuals using biometric methods has recently gained growing interest from computer vision researchers for security purposes at places like airport, banks etc. Gait recognition aims essentially to address this problem by identifying people at a distance based on the way they walk i.e., by tracking a number of feature points or gait signatures. The authors describe a new model-based feature extraction analysis is presented using Hough transform technique that helps to read the essential parameters used to generate gait signatures that automatically extracts and describes human gait for recognition and Discrete Wavelet Transformation(DWT). This proposed work is present the more accuracy to identify the person or theft.