  Gait recognition is one of the most recent emerging techniques of human
biometric which can be used for security based purposes having unobtrusive
learning method. In comparison with other bio-metrics gait analysis has some
special security features. Most of the biometric technique uses sequential
template based component analysis for recognition. Comparing with those
methods, we proposed a developed technique for gait identification using the
feature Gait Energy Image (GEI). GEI representation of gait contains all
information of each image in one gait cycle and requires less storage and low
processing speed. As only one image is enough to store the necessary
information in GEI feature recognition process is very easier than any other
feature for gait recognition. Gait recognition has some limitations in
recognition process like viewing angle variation, walking speed, clothes,
carrying load etc. Our proposed method in the paper compares the recognition
performance with template based feature extraction which needs to process each
frame in the cycle. We use GEI which gives relatively all information about all
the frames in the cycle and results in better performance than other feature of
gait analysis.
