BibTeX:

@article{IJIRSTV1I11190,
     title={Human Gait Recognition Using BPN And MLP},
     author={Sonia A Naik and Dr. H. G. Virani},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={440--446},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11190.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Biometric means uniquely identifying a person based on one or more biological trails. It is a technology that measures and analyses human body characteristics, such as fingerprints, facial patterns, speech, and irises for authentication purpose. Biometrics like finger print, face requires subject co-operation and hence fail to identify an individual at a distance. Hence recognition through gait biometric can be employed as a new method for human identification. Gait recognition basically identifies a person based on its walking pattern. This paper presents a simple method of Human identification based on unique gait features. Different features such as center of mass, step size and area of triangle formed between control point’s .i.e. coxa bone and knee bones are used. This features are computed on CASIA dataset A. Finally supervised Neural network classifier are used.

Human Gait, Back Propagation (BPNN), Multilayer perceptron (MLP)