Fuzzy Inference System Aided Personal Detection: Ear Biometrics
Prashanth G.K , M.A.Jayaram, Rohit K
Ear biometric is receiving increased momentum in recent years because of various proven advantages, ear biometric system are based on the biological features of the ear, these features being extracted from the images will surely be approximate interns of their dimensions and the extent, it is exactly here the fuzzy inference system(FIS) for personal detection, for building this system around 840 right ear images were collected, processed and the shape based biometric features were elicited, the system so developed has shows excellent performance in terms of sensitivity, specificity and accuracy which are 94.11%, 100%, and 95% respectively.
Biometrics, Ear Images, Fuzzy inference system, fuzzy rules, Person identification system
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[Prashanth G.K , M.A.Jayaram, Rohit K (2016) Fuzzy Inference System Aided Personal Detection: Ear Biometrics IJIRCST Vol-4 Issue-5 Page No-127-132] (ISSN 2347 - 5552). www.ijircst.org
Department of Master of Computer Applications, Siddaganga Institute of Technology, Tumkur, India, 9980933552