A Review on Triangle based Techniques in Biometric Gait Recognition

Abstract

Biometric system is an analysis of unique biological features of human being. The purpose is used for human security and identification. Different conventional biometric (such as face recognition, iris, fingerprint, etc.) methods are used for security and identification purpose, but they can capture only by physical control or at a close distance from record search. Gait on a behavioral biometric has attracted more attention recently because it can capture at a distance with requiring the earlier consent of the observed object. This survey paper covers the current trends and method of Gait based surveillance system using triangle methods and compare them.

Personal Re-identification Using Incremental Dynamic Time Warping Algorithm and Body Measuremen

“…The movement of the human body presents unique patterns that can identify individuals by the way they walk, as illustrated in Figure 2. There is a sequence of alternative footprints specified in an individual's movement wherein the movement of both feet creates a unique cyclic for each person [10,11] whether walking, jogging, running, jumping, climbing stairs, The gait state can be analyzed as a biometric measurement without contact with the person being scrutinized. This makes it a very versatile method for many purposes.…”

Analysis of Gait Flow Image and Gait Gaussian Image Using Extension Neural Network for Gait Recognition

“…They obtained 88.75% by using NN as a classifier. Angle based analysis over a gait cycle results in correct classification rate of 90% on Casia-A dataset [Jhapate et. al, 2015].…”