Jyoti Bharti1, Navneet Manjhi1, M.K.Gupta2 and Bimi jain2
1Department of Computer Science and Engineering, M.A.N.I.T, Bhopal, India
2Department of Electronics and Communication, M.A.N.I.T, Bhopal, India
ABSTRACT
A reliable gait features are required to extract the gait sequences from an images. In this paper suggested a simple method for gait identification which is based on moments. Moment values are extracted on different number of frames of Gray Scale and Silhouette images of CASIA database. These moment values are considered as feature values. Fuzzy logic and Nearest Neighbor Classifier are used for classification. Both achieved higher recognition.
KEYWORDS
Gait, Fuzzy Logic, Nearest Neighbor (without fuzzy), Recognition Rate, Moments.
Original Source URL: https://airccse.org/journal/ijsc/papers/6115ijsc02.pdf
https://airccse.org/journal/ijsc/current2015.html
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