Neural Networks For Non-Intrusive Biometric Recognition A simple and effective code for Gait Recognition System.
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Algorithm hand recognition system recognition system matlab Matlab Algorithm Biometric Recognition Gait Recognition Gait

Neural Networks For Non-Intrusive Biometric Recognition Description

Gait recognition is the process of identifying an individual by the manor in which they walk. This is a marker less unobtrusive biometric, which offers the possibility to identify people at a distance, without any interaction or co-operation from the subject, this is the property which makes it so attractive as a method of identification. This is a fast and accurate algorithm for gait recognition based on spatio-temporal statistical distribution of pixels present in silhouettes images. Code has been tested on CASIA Gait Database. Input frames are processed and extracted feature vectors are used to train a neural network. Give Neural Networks For Non-Intrusive Biometric Recognition a try to fully assess its capabilities!

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