Performance improvement using an automation system for recognition of multiple parametric features based on human footprint
Keywords:
Human footprint, multiple features, segmentation, cropping, region growing.Abstract
Rapid increase in population growth has made the mankind to delve in appropriate identificationof individuals through biometrics. Foot Print Recognition System is a new challenging areainvolved in the Personal recognition that is easy to capture and distinctive. Foot Print has itsown dimensions, different in many ways and can be distinguished from one another. Themain objective is to provide a novel efficient automated system for Personal Recognitionusing Foot Print based on structural relations among the features in order to overcome theexisting manual method. This system comprises of various statistical computations of variousfoot print parameters for identifying the factors like Instep-Foot Index, Ball-Foot Index, Heel-Index, Toe- Index etc. The parameters are trained using Neural Network method for the humanrecognition. The input of this system is the naked footprint and the output gives performancerecognition rate. This system is very simple, easy and efficient resulting to time complexity.
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