Performance Evaluation of LDA and RADON in GAIT Recognition

Gait is an emergent biometric aimed essentially to recognize people by the way they walk. Gait’s advantages are that it requires no contact like automatic face recognition, and that it is less likely to be obscured than other biometrics. Gait has allied subjects including medical studies, psychology, human body modeling and motion tracking. These lend support to view that gait has clear potential as a biometric. To identify a person using their distinct Gait, the publicly available database is being taken in the video sequence format. By applying PCA analysis the gait points are extracted and trained. To obtain the false positive points LDA and a combined approach of LDA and Radon is used. The performance of the usage of LDA separately and LDARadon are being compared and the results are being produced as the graph..